Production Tasks Research Articles

ANALYSIS OF THE CHANGE IN THE RHEOLOGICAL CURVE OF THE FLOW OF NON-NEWTONIAN OILS IN THE FIELDS OF WESTERN KAZAKHSTAN

In order to improve oil recovery technologies, the task of studying the rheological properties of oil, which largely determine the development indicators of the development target, namely, the rate of oil withdrawal, the stability and nature of the movement of the front of displacement of oil by water or gas, and, as a result, final oil recovery, is becoming urgent. In this regard, there is a need for in-depth studies of the rheoviscidity properties of produced oils.This article presents the results of laboratory studies to study the rheological characteristics of both high-paraffin and heavy high-viscosity oils using the example of oil from fields in Western Kazakhstan. Since structured oils are thixotropic systems, all experiments were carried out with the same degree of structure destruction in oil, both anhydrous oils and those with different water cuts were studied. The authors also showed the nature of the change in the rheological curve of the flow of oil emulsion of various water cuts to identify the temperature interval where non-Newtonian properties of various oils are manifested. Their main physical and chemical properties are also given, and kinematic viscosities of oil with different densities are compared. The results of laboratory studies of viscosity change with temperature increase for Karazhanbas oil emulsion with different water cut are considered. Despite differences in viscosity values of different degrees of watered samples of highly paraffinic oil, the tendency of oil viscosity change depending on the shear gradient is the same. The formation of structured systems of resin and asphaltene particles is observed in flows with relatively low shear gradients. As a result, oil viscosity dependence on the shear gradient in the range of low values from 0 to 20 s-1 must be taken into account when solving tasks for high-paraffin production. The results obtained are of practical interest, since when creating a compositional model and technological modeling of the collection and transport system, the rheological characteristics of the oil of a particular field, as well as the presence of thixotropic properties, must be taken into account.

A Flow Shop Scheduling Method Based on Dual BP Neural Networks with Multi-Layer Topology Feature Parameters

Nowadays, the focus of flow shops is the adoption of customized demand in the context of service-oriented manufacturing. Since production tasks are often characterized by multi-variety, low volume, and a short lead time, it becomes an indispensable factor to include supporting logistics in practical scheduling decisions to reflect the frequent transport of jobs between resources. Motivated by the above background, a hybrid method based on dual back propagation (BP) neural networks is proposed to meet the real-time scheduling requirements with the aim of integrating production and transport activities. First, according to different resource attributes, the hierarchical structure of a flow shop is divided into three layers, respectively: the operation task layer, the job logistics layer, and the production resource layer. Based on the process logic relationships between intra-layer and inter-layer elements, an operation task–logistics–resource supernetwork model is established. Secondly, a dual BP neural network scheduling algorithm is designed for determining an operations sequence involving the transport time. The neural network 1 is used for the initial classification of operation tasks’ priority; and the neural network 2 is used for the sorting of conflicting tasks in the same priority, which can effectively reduce the amount of computational time and dramatically accelerate the solution speed. Finally, the effectiveness of the proposed method is verified by comparing the completion time and computational time for different examples. The numerical simulation results show that with the increase in problem scale, the solution ability of the traditional method gradually deteriorates, while the dual BP neural network has a stable performance and fast computational time.

Working memory of young school-age learners acquiring L2 English morphology: An experimental exploratory lab study with structured input intervention

The aim of this pre-/posttest design lab case study is to find possible interactions between working memory (WM) effects and the effectiveness of structured input among 10-11-year-olds with first language (L1) German children. The target feature is the simple English past tense. The WM capacity was assessed via three span tasks: listening (LST), reading (RST), and a digit span task (DST). Second language (L2) learners' WM scores for all three span tasks were included as continuous predictors in the mixed model analysis. Assessment entailed sentence-level interpretation tasks yielding accuracy scores with reaction times, and a gap-filling production task with accuracy scores. Regarding interpretation, results varied. L2 learners with high DST scores outperformed learners with low DST scores in terms of accuracy. A mixed model analysis including reaction times did not improve the model's fit. Regarding production, the WM did not prove to be a predictor for the accuracy effects. However, L2 learners with early age of onset English (AOE) showed significant improvement over time and L2 learners with late AOE showed no effect at all. We conclude that instruction with structured input is effective regardless of the WM score, and its effects are retained over a 3 weeks' delayed period.

Impairment of Multi-Finger Force Control in Adult Patients with Dyskinetic Cerebral Palsy

PURPOSE: This study aimed to investigate the impact of cerebral palsy (CP) on motor control strategies, with a focus on understanding the altered capability of multi-finger force control in adult patients with dyskinetic CP.METHODS: Eight adults with dyskinetic CP and ten age- and sex-matched healthy controls participated in this study. The participants performed three force production tasks using four fingers of the dominant hand under isometric conditions: maximum voluntary contraction (MVC) to assess maximum force production, a ramp task to evaluate finger interdependency (enslaving), and a pulse task to examine the ability to rapidly and precisely adjust force. The co-contraction index (CCI) of finger flexor and extensor was also determined during steady state and pulse force production.RESULTS: Patients with dyskinetic CP demonstrated significant impairments in finger force control compared to healthy controls. Specifically, the accuracy and consistency of force production were reduced in the CP group, and they exhibited a longer time to peak pulse force. The CP group also showed increased finger interdependency and elevated CCI during pulse force production, suggesting a greater reliance on co-contraction and less efficient motor control strategies.CONCLUSIONS: This study highlights the distinct motor control deficits in individuals with dyskinetic CP, particularly in tasks requiring rapid and precise finger force adjustment. These results have important implications for the functional rehabilitation of patients with CP. Therapies aimed at reducing excessive co-contraction and decreasing finger interdependency may be beneficial for improving muscle coordination and overall motor function.

Modularity and new product performance: the role of new product development speed and task uncertainty

Similar to the advantages of product modularity to a firm’s overall performance, new product modularity could provide advantages to the new product development process and result in its success in the marketplace. Accordingly, this study investigates the effect of new product modularity on its financial and market-related performance (new product performance). To identify processes underlying this effect, NPD speed and task uncertainty have been considered as its mediator and moderator, respectively. In this vein, survey data from 190 Iranian manufacturing firms have been gathered and research hypotheses have been examined using structural equation modelling and bootstrapping approach. The results of this study reveal that new product modularity improves NPD speed and new product performance. Additionally, NPD speed is found to have a partial mediating role between new product modularity and performance. Finally, this study empirically shows that the positive effect of new product modularity on new product performance amplifies in tasks marked by heightened uncertainty. The findings of the current study highlight the determinant role of modular strategy and NPD speed in developing successful new products.

Teaching with Generative AI: moving forward with content creation

Generative AI is widely available and has raised the expectation that it will impact Education. Models, such as ChatGPT, can quickly produce plausible texts on a wide range of topics, and this capability may be of potential use in course content production. This paper selects several important course content production tasks, describes the prompts used, and assesses the quality of the automatically generated texts by a team of experts. Across all tasks, the Generative AI produced content that could help solve specific tasks by aiding with brainstorming, creating outlines, and adhering to particular writing guidance. In all cases, the content required adjustments and checking by human experts.

The Relative Stability of the Beauty Connotations across a Lifespan and its Gender Differences

The concept of beauty is multifaceted and subject to various influences that include the age and gender of the perceiver. This study aimed to explore the relationship between age and the connotations associated with the concept of beauty over a lifespan. A sample of 1,558 adults aged 19 to 89 years provided connotations of beauty through free production tasks with the objective to investigate changes in the occurrence of connotations associated with the concept of beauty in relation to the age of the evaluator. Occurrences of sixty-two connotations were analysed with respect to age using Spearman's correlation. The results showed that only three percent of the connotations had a significant correlation with age, suggesting that the concept of beauty is relatively stable over time. Specifically, associations with the terms "man" and "God" decreased as age increased, particularly among women. Separate analyses by gender revealed distinct patterns, with women reporting stronger associations between age and connotations related to "man," "God," and "friend." In contrast, men reported correlations with connotations such as "flower," "sea," "joy," and "figure," suggesting shifts in perception away from physical attractiveness to natural scenery. The findings show the relative stability of the beauty concept over a lifespan, but also underscore the importance of considering gender in our understanding of the dynamics of the perception of beauty.

Examining presenteeism and productivity losses among nursing workers: a cross-sectional study.

To characterize presenteeism and productivity losses among nursing professionals in public and private health services. A cross-sectional study was conducted with 123 participants from a public hospital and 159 from a private hospital in Manaus, Brazil. The Sociodemographic Health Questionnaire was utilized to assess presenteeism, while the Work Limitations Questionnaire measured productivity losses. Data were analyzed using non-parametric methods. Health-related work loss and presenteeism were reported by 50.41% of public sector professionals and 39.62% of private sector professionals. Despite this, presenteeism was more prevalent in the private sector (93.65%) compared to the public sector. Common health issues included musculoskeletal (26.49%), mental/behavioral (19.21%), respiratory (17.22%), neurological (16.56%), and gastrointestinal (5.96%) conditions. Additionally, 54.24% of private sector professionals and 44.23% of public sector professionals did not seek treatment. The private sector exhibited greater limitations in receiving care due to time management (40.34%), mental-interpersonal tasks (49.95%), production tasks (52.54%), and physical tasks (61.30%), resulting in higher productivity losses among nurses (13.46%) and nursing technicians (15.82%). High-complexity sectors demonstrated the greatest productivity losses. The study identified significant differences in the characteristics of presenteeism and productivity losses between nursing professionals in the public and private health sectors. These results point to the need to improve management and occupational safety and regulatory measures to solve workers' health problems and mitigate presenteeism and productivity losses in the public and private health sectors.

Generation (not production) improves the fidelity of visual representations in picture naming.

The production effect refers to the finding that participants better remember items read aloud than items read silently. This pattern has been attributed to aloud items being relatively more distinctive in memory than silent items, owing to the integration of additional sensorimotor features within the encoding episode that are thought to facilitate performance at test. Other theorists have instead argued that producing an item encourages additional forms of processing not limited to production itself. We tested this hypothesis using a modified production task where participants named monochromatic line drawings aloud or silently either by generating the names themselves (no label condition) or reading a provided label (label condition). During a later test, participants were presented with each line drawing a second time and required to reproduce the original color and location using a continuous slider. Production was found to improve memory for visual features, but only when participants were required to generate the label themselves. Our findings support the notion that picture naming improves memory for visual features; however, this benefit appears to be driven by factors related to response generation rather than production itself.

Tacit knowledge management process, product innovation and organizational performance: exploring the role of affective trust and task efficiency

PurposeNowadays, it is hard to retain a knowledge monopoly since tacit knowledge has become essential for innovation and organizational effectiveness (ORP). This study analyzed the role of product innovation as a mediator in the relationship between the tacit knowledge management process (TKMP) and organizational performance. In addition, two moderating variables were examined: (1) Affective trust (AFT) between the tacit knowledge management process and product innovation relationship and (2) Task efficiency in product innovation and organizational performance (ORP) relationship.Design/methodology/approachAround 344 questionnaires were collected from various Chinese regions between February and April 2023 to conduct this study. The regression, mediation and moderation analyses on lower and higher-order data were evaluated using the SmartPLS approach.FindingsThe results validate that product innovation mediates the connection between managing tacit knowledge and the organization’s performance. Affective trust also plays a positive moderating role between tacit knowledge and product innovation. These results provide valuable theoretical and practical insights, substantiating various direct, indirect, mediate, and moderated effects hypotheses.Research limitations/implicationsThe scope of the study was restricted to manufacturing companies; however, further research may broaden the model’s scope to include other industries. Furthermore, future research should continue to explore the role of task efficiency in the innovation process and identify strategies for enhancing task efficiency in organizations.Practical implicationsThe study establishes the significance of effectively managing tacit knowledge for fostering product innovation. Company managers and leaders can promote employee trust, enhancing innovation capabilities and overall organizational effectiveness.Originality/valueThis study, involving dual moderation, explores the connections between processes of managing tacit knowledge, product innovation and organizational performance. It addresses research gaps, enriching the understanding of managing tacit knowledge, leading to organizational innovation and performance improvements. The study also highlights how affective trust is vital in strengthening the connection between TKMP and product innovation.

Intrahemispheric White Matter Asymmetries and Interhemispheric Connections Underlying the Lateralization of Language Production and Spatial Attention in Left-Handers

ABSTRACT Leftward language production and rightward spatial attention are salient features of functional organization in most humans, but their anatomical basis remains unclear. Interhemispheric connections and intrahemispheric white matter asymmetries have been proposed as important factors underlying functional lateralization. To investigate the role of white matter connectivity in functional lateralization, we first identified 96 left-handers using visual half field naming tasks. They were then divided into atypical and typical functional dominance based on the lateralization of brain activation in a word generation task (for language production) and a landmark task (for spatial attention). Using a novel fixel-based framework, we obtained fiber-specific properties of white matter pathways. Results showed, first, that differences between two language dominance groups occurred in the asymmetry of the superior longitudinal fasciculus-III (SLF-III), whereas differences between two spatial attention dominance groups occurred in the rostrum and rostral body of the corpus callosum. However, the directions of functional lateralization were not associated with the directions of white matter asymmetries. Second, the degree of language lateralization was predicted by SLF-III asymmetry and the rostral body of the corpus callosum, whereas the degree of spatial attention lateralization was predicted by the rostrum of the corpus callosum. Notably, the degree of each functional lateralization was positively correlated with the anterior and middle callosal connections, supporting the excitatory model of the corpus callosum. The results suggest that language lateralization is shaped by a combined effect of intra- and interhemispheric connections, whereas spatial attention lateralization relies more on interhemispheric connections.

The Acquisition of de: Investigating Recursive Possession in Mandarin-Speaking Kids

Recursive grammar is the sole cognitive mechanism unique to human languages. This study investigates three aspects of the acquisition of the recursive possessive marker de by Mandarin-speaking children: the feasibility of recursive possessive (RP) levels, performance in both cognition and competence, and the age at which these abilities emerge. Following a development theory of recursive possessives in language acquisition, we conducted two tasks—comprehension and production—each comprising 12 questions. The comprehension task involved a truth-value judgment, while the production task consisted of a question-and-answer session. Forty-eight preschoolers, aged three to five, were recruited from a kindergarten and divided into three age groups. Additionally, 16 adults were randomly recruited to serve as a baseline for comparison. The results revealed that significant effects of levels of recursive possessiveness were observed only in five-year-old Mandarin-speaking children, not in their three- and four-year-old counterparts. The comprehension task was significantly easier for all participants compared to the production task, suggesting that understanding the material was not challenging for any group, with no substantial differences noted among them. The results demonstrated that age effects were critical for younger children in adopting RPs. Specifically, three- and four-year-old Mandarin-speaking children demonstrated the ability to comprehend multiple levels of RP but struggled to produce them. In contrast, five-year-olds exhibited adult-like comprehension and the ability to produce Level 1 RP.

Metaphor comprehension and production in verbally able children with Autism Spectrum Disorder.

Research in the field of figurative language processing in Autism Spectrum Disorders (ASD) has demonstrated that autistic individuals experience systematic difficulties in the comprehension of different types of metaphors. However, there is scarce evidence regarding metaphor production skills in ASD. Importantly, the exact source of metaphor processing difficulties in ASD remains largely controversial. The debate has mainly focused on the mediating role of structural language skills (i.e., lexical knowledge) and cognitive abilities (i.e., Theory of Mind and executive functions) in ASD individuals' ability to comprehend and generate metaphors. The present study examines metaphor comprehension and production in 18 Greek-speaking verbally able children with ASD and 31 typically-developing (TD) controls. Participants completed two tasks, namely, a low-verbal multiple-choice sentence-picture matching task that tested their ability to comprehend conventional predicate metaphors, and a sentence continuation task that assessed their ability to generate metaphors. The study also included measures of fluid intelligence, expressive vocabulary, and working memory within the sample. The results show that the ASD group had significantly lower performance than the TD group in both metaphor comprehension and production. The findings also reveal that expressive vocabulary skills were a key factor in the metaphor comprehension and production performance of the children with ASD. Working memory capacity was also found to correlate significantly with metaphor comprehension performance in the ASD group. Conversely, no correlations were found in the TD group with neither of the above factors. Of note, children with ASD generated significantly more inappropriate responses and no-responses to the metaphor production task compared with the control group. The overall results reveal that children with ASD had difficulty with both comprehending and using metaphorical language. The findings also indicate that TD children may employ diverse cognitive strategies or rely on different underlying skills when processing metaphors compared with children with ASD.

Force reflections of auditory and tactile action-effect weighting in motor planning

Most voluntary actions have only few goals, which provides considerable freedom in the selection of action parameters. Recent studies showed that task-irrelevant aspects of the task context influence the motor parameters of the actions in a way which seems to reflect the relative importance of these aspects within the underlying action representation. The present study investigated how the intensity of auditory action-effects affected force exertion patterns in a self-paced action production task. Participants applied force impulses with their index finger on a force-sensitive resistor every three seconds. In four separate conditions, force impulses elicited no sound, or elicited tones with 69, 59 or 49 dB intensity. The results showed that participants applied more force when tone intensity was lower, and when tones were absent. These force differences were also present in the first 60 ms following tone onset, implying that these reflected differences in motor planning. The results are compatible with the notion that actions are represented in terms of their sensory effects, which are weighted differently—presumably to maintain an optimal level of overall auditory and tactile stimulation in the present case. These results hint at the potential usefulness of motor parameters as readouts of action intentions.

Knowledge of English Affixes in Thai EFL Learners of Science and Language Programs

This study investigated the knowledge of affixes on vocabulary development among English as a Foreign Language (EFL) learners, focusing on the differentiation between students studying science and those studying the language. Affix knowledge, encompassing both prefixes and suffixes, is essential for expanding word family knowledge, serving as a cognitive bridge to proliferate word family members. To explore this, 111 secondary school students from a semi-urban Thai school, split into 53 science and 58 language program students, were assessed through receptive and productive affix knowledge tests. The findings reveal that science program students outperformed their language counterparts in receptive affix knowledge tests. Additionally, results indicated a learning continuum in affix acquisition, with students showing better average performance on receptive tests compared to more complex productive tasks. Notably, affix knowledge concerning prefixes was superior to that of suffixes across both test types. Moreover, the correlational analysis revealed a medium to strong relationship between English affix knowledge and vocabulary knowledge. The findings also suggest that suffix knowledge has a greater impact on productive vocabulary than on receptive vocabulary. Regression analysis supports the correlation results, highlighting that a deeper understanding of affixes is linked to stronger vocabulary knowledge in both comprehension and usage. These results suggest a structured progression in affix learning, from recognition to production, and underline the significance of affix knowledge in vocabulary expansion for EFL learners. The study emphasizes the need for further research into the mechanisms of affix acquisition and its role in language learning curricula.

AEDN-YOLO: an efficient one-stage detection network for strip steel surface defects

Steel surface defect detection is one of the key tasks in industrial production and quality control. Research on defect detection using deep learning algorithms has shown promising results. However, due to the complex backgrounds, large differences in defect sizes, and diverse defect types present in steel strip surface defect images, existing deep learning algorithms struggle to achieve precise detection. To address these challenges, this paper proposes an efficient detection model named AEDN-YOLO. Firstly, an adaptive feature extraction (AFE) module is designed, embedded into C2f to better capture irregularly shaped objects. Secondly, the Triplet Attention module is incorporated into the bottom layer of the backbone network to enhance the model’s ability to locate defect features accurately. Additionally, replace the standard convolution in the neck network with GSConv, which not only accelerates feature fusion to improve detection speed but also enlarges the model’s receptive field to enhance detection accuracy. Finally, add a small target detection layer to enhance the detection capability for tiny defects. The model achieves mAP of 81.7% and 72.7% on the NEU-DET and GC10-DET datasets, respectively, with a detection speed of 72.1 FPS. Compared to mainstream defect detection algorithms, the proposed algorithm enables accurate and efficient detection of steel surface defects.

Dissociating Cerebellar Regions Involved in Formulating and Articulating Words and Sentences.

We investigated which parts of the cerebellum are involved in formulating and articulating sentences using (i) a sentence production task that involved describing simple events in pictures; (ii) an auditory sentence repetition task involving the same sentence articulation but not sentence formulation; and (iii) an auditory sentence-to-picture matching task that involved the same pictorial events and no overt articulation. Activation for each of these tasks was compared to the equivalent word processing tasks: noun production, verb production, auditory noun repetition, and auditory noun-to-picture matching. We associate activation in bilateral cerebellum lobule VIIb with sequencing words into sentences because it increased for sentence production compared to all other conditions and was also activated by word production compared to word matching. We associate a paravermal part of right cerebellar lobule VIIIb with overt motor execution of speech, because activation was higher during (i) production and repetition of sentences compared to the corresponding noun conditions and (ii) noun and verb production compared to all matching tasks, with no activation relative to fixation during any silent (nonspeaking) matching task. We associate activation within right cerebellar Crus II with covert articulatory activity because it activated for (i) all speech production more than matching tasks and (ii) sentences compared to nouns during silent (nonspeaking) matching as well as sentence production and sentence repetition. Our study serendipitously segregated, for the first time, three distinct functional roles for the cerebellum in generic speech production, and it demonstrated how sentence production enhanced the demands on these cerebellar regions.

Results of experimental development of a laboratory water distillation installation based on a heat pump and a photovoltaic panel

Modern technologies and the continuous rise in water consumption require efficient and environmentally friendly methods of its extraction. According to the energy development strategy of the Russian Federation until 2035, the use of alternative energy sources in industry is a priority task for production. The use of renewable resources to produce distilled water for the needs of enterprises is becoming increasingly important. The innovative technology of a laboratory installation, combining water distillation using a heat pump and a photovoltaic panel, allows not only to obtain purified water, but also to heat the coolant before chemical purification. To create a laboratory stand, it is necessary to study the operating principles of the installation, divide the device into units: the main stand and the vacuum distiller, then model a three-dimensional image of each part of the complex in the SolidWorks software package. Based on the obtained models, a functional diagram of the complex is developed to obtain a coolant of the given parameters, and an algorithm is compiled for predicting the temperature of the heated water in the heat pump. The obtained installation test results are processed, and compared with theoretical data from tables of refrigerant properties, and a conclusion is drawn. The technology for producing purified water is aimed at replacing imported technologies and using renewable energy sources. The development of technologies for producing clean water is a priority for the development of the Russian energy sector. The results obtained indicate the potential of the laboratory installation for use in various areas where a reliable and environmentally friendly supply of distilled water is required, for example, in coastal areas for industrial facilities or agricultural enterprises.

Individual differences in attention and working memory modulate the process of tone merging: evidence from Macau Cantonese

Cognitive functions, including attention and working memory, have been recognized to be associated with tone processing. However, it remains unclear how these cognitive functions might modulate the process of tone merging. In Macau Cantonese, three pairs of tones are currently undergoing or have completed merging, exhibiting different rates and ranges of merging within the speech community, providing a valuable opportunity to investigate this issue. Through a perception task, a production task, and a series of cognitive function tasks, we examined differences in cognitive performances among individuals distinguishing different tone pairs and explored the correlations between various indices of tone processing and cognitive functions. The results revealed that the completed merging of the T2–T5 pair showed no significant correlation with cognitive functions in perception and production. The T3–T6 pair, with an intermediate merging speed, exhibited a significant positive correlation between cognitive functions and both their perception and production. In contrast, the T4–T6 pair, characterized by a slower merging speed, showed a correlation only in the perception modality. Our findings suggested that cognitive functions affect tones at different stages of the merging process, influencing their perception and production in distinct ways. The results provide a novel perspective on the origin of tonal variation and the relationship between perception and production.

Применение эволюционных и роевых методов для оптимизации многопараметрического управления процессом нанесения гальванического покрытия

One of the key parameters of the quality of ceramic coatings is its thickness, which must meet technical requirements and provide the necessary degree of corrosion protection, wear resistance and appearance of the coating. Ensuring the uniformity of the galvanic coating is one of the most important and complex tasks of high-tech machine-building production, for which a number of methods have been proposed, such as controlling current modes, the location of electrodes in the bath, and the electrolyte flow rate. However, in most cases, these methods require solving the problem of optimal multiparametric control. Prompt and accurate optimization when changing the conditions of electrolysis (electrode potentials, composition and properties of the electrolyte), as well as, if necessary, taking into account the multi-extreme nature of the dependence of the uniformity coefficient on the process parameters (current density, interelectrode distance, electrolyte flow rate) is a rather complex and ambiguous multifactorial task that limits the use of classical methods for- the claim of a global extreme. The article explores the possibility and expediency of using intelligent heuristic methods, such as evolutionary and swarm methods, to solve this problem. Objective. The objective of this study is to determine the effectiveness of using genetic algorithms and the particle swarm method to solve the problem of optimizing the multiparametric control of the electroplating process. Materials and methods. Methods of mathematical modeling, methods and software environment of numerical modeling and optimization were used to conduct the study. Results. The article investigates the effectiveness of the application of evolutionary and swarm optimization methods in relation to the process of applying chrome plating in a galvanic bath with many anodes with multiparametric control of current density, interelectrode distance and electrolyte flow rate. The best approximation to the extreme of the uniformity coefficient can be achieved by genetic algorithms using the mutation operation and the particle swarm method, while achieving the extreme using the particle swarm method is achieved in fewer iterations. Conclusion. The results of the study substantiate the expediency of using evolutionary and swarm methods to solve the problem of optimizing the multiparametric control of the electroplating process, while it is possible to increase the efficiency of these methods due to additional tuning.