Science andTechnology Research Articles

Comprehensive examination of intellectual property objects: problematic issues in the context of science and technology development

The article is devoted to the study of a number of problematic aspects related tocomprehensive examinations of intellectual property objects in the context of scienceand technology development.It is established that intellectual property objects created with the help of artificial intelligenceare characterized by a complex legal nature. Thus, a particular work may be entirelygenerated by an artificial intelligence system. In this regard, there is a need to appointcomprehensive examinations for their study in the course of consideration of themerits of cases on the protection of intellectual property rights, within which it will be necessaryto apply both knowledge in the field of intellectual property and technical knowledgerelated to the peculiarities of creating these works.The author identifies the need to adapt existing methods to new intellectual propertyobjects, as well as to develop modern research methods taking into account the specifics ofthe legal nature of such objects. Given the complex legal nature of intellectual property objectscreated with the use of artificial intelligence, the author proposes to appoint a comprehensiveexamination with the involvement of technical specialists.It is noted that a comprehensive examination of intellectual property involves a multi-levelstudy, which, however, forms an interdependent logical sequence of activities of individual experts.In this case, the key is the impossibility of establishing the properties of a particular intellectualproperty object without conducting a study by an expert of another specialization.It is noted that when an intellectual property object has a dualistic legal nature, thereis a need to integrate various areas of knowledge in the field of intellectual property. Despitethe fact that this knowledge relates to the field of intellectual property, such a studywill be complex in its procedural nature.It is summarized that various subtypes of intellectual property expertise may require technicalassistance to solve the tasks assigned to the expert, especially in the context of the developmentof digital technologies and their use for the creation of new intellectual property objects.

Seed Science and Technology. Volume 52 Issue 1 (2024)

As the International Seed Testing Association (ISTA) celebrates its 100-year anniversary in 2024, we can also commend its specific role in supporting research on seeds. Indeed, one of ISTA's objectives is " To actively promote research and dissemination of knowledge in seed science and technology, for the sampling, testing, storing, processing and distribution of seeds". One of the main ways in which scientific knowledge of seeds is disseminated by ISTA is through its scientific journal, Seed Science and Technology, which itself celebrated its 50th volume in 2022 with a special issue of review articles and editorial (Jones, 2022). The review articles covered some of the history of research on particular aspects of seed testing, and gave up-to-date summaries of our current understanding of topics such as vigour, seed storage, tetrazolium testing, etc. Collectively, they cite many original research papers published in Seed Science and Technology. Since 2003, Seed Science and Technology has been available electronically at https://www.ingentaconnect.com/content/ista/sst, and articles published since 2018 are open-access, meaning that they are available for anyone to read for free. The 1973 to 2002 back issues of SST are available from ISTA at publication. sales@ista.ch. The articles in this latest issue of SST will similarly each advance our understanding of seed processes and responses, continuing to contribute to the body of knowledge on seeds. The authors of the articles in this issue cover different regions of the world, emphasising the global nature of seed science and the ISTA community.

Error Modeling and Accuracy Analysis of Parallel Robots for Spacecraft Docking Motion Simulation System

Background:: A large number of on-orbit docking dynamics experiments are conducted in the spacecraft docking motion simulation system with the development of Chinese space science and technology, and therefore, the requirement for high-precision parallel robots has increased. The pose accuracy of parallel robots is one of the most important problems in this application. Objective:: In order to evaluate the pose accuracy of parallel robots in advance, a comprehensive pose accuracy analysis method considering major error sources is presented in this paper, and the influence of major error sources on the pose accuracy is also investigated to summarize the statistics and propagation characteristics of the pose error. Methods:: The first-order error model for the parallel robot is established based on a generalized error model for each hydraulic cylinder and a sensitivity analysis method. Using the error model, a statistical approach to the parallel robot pose accuracy analysis is presented, and the influence of different parameter errors and different poses on the pose accuracy of the parallel robot is investigated. Sensitivity analysis is applied to evaluate the contribution of each parameter error to the position and orientation error of the parallel robot. An automated pose accuracy analysis program that computes and graphically displays the position and orientation error distributions and the sensitivity analysis results is developed. Results: The statistical analysis results of the influence of different parameter errors and different poses on pose accuracy are obtained by using the automated pose accuracy analysis program. The means of the position and orientation errors are close to zero. The standard deviations in the x and y directions are larger than those in the z direction, and these standard deviations are amplified with the increase of the parameter errors. For the given elevation, sensitivity analysis to various parameter errors is performed. It is found that the length error sensitivities of the hydraulic cylinders are less than one, and position error sensitivities of the hook joints A4, A5, and A6 are much greater than those of hook joints A1, A2 and A3. Conclusion:: The elemental error sources belong to one of two groups, i.e., those affecting the hydraulic cylinder length and those affecting the hook joints. The distributions of the position and orientation errors are consistent with statistics theories. The parallel robot is more sensitive to the errors affecting the hook joints than those affecting the hydraulic cylinder length. These will help the designers and users of the parallel robot understand the statistics and propagation characteristics of the pose error. Some recent patents on error modeling and kinematic calibration of parallel robots are also discussed in this article.

Erratum: Correction of author’s affiliation and acknowledgement in the article: Computer-aided approach for the identification of lead molecules as the inhibitors of cholinesterase’s and monoamine oxidases: Novel target for the treatment of Alzheimer disease

This corrects the article ?Computer-aided approach for the identification of lead molecules as the inhibitors of cholinesterase?s and monoamine oxidases: Novel target for the treatment of Alzheimer disease? published in volume 89, number 2, page 177 (https://doi.org/10.2298/JSC230307050E). CONTENT OF THE CORRECTION For author Ammara Fayyaz, additional affiliation is added. Previous article affiliation was: 1Department of Pharmaceutical Chemistry, Faculty of Pharmacy, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan, 2Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Saudi Arabia and 3Department of Biochemistry, College of Science, King Saud University, P.O. Box 22452, Riyadh 11451, Saudi Arabia Corrected affiliation is: 1Department of Pharmaceutical Chemistry, Faculty of Pharmacy, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan, 2Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud Univeristy, P.O. Box 2457, Riyadh 11451, Saudi Arabia, 3Department of Biochemistry, College of Science, King Saud Univeristy, P.O. Box 22452, Riyadh 11451, Saudi Arabia and 4School of Pharmaceutical Science and Technology, Tianjin University, 30072, Tianjin, China In Acknowledgement, the supporting project number is changed. Previous acknowledgement was: Acknowledgement. The authors extend their appreciation to researchers supporting project number RSP-2023/357, King Saud University, Riyadh, Saudi Arabia, for funding this research. Correct acknowledgement is: Acknowledgement. The authors extend their appreciation to researchers supporting project number RSP2024R357, King Saud University, Riyadh, Saudi Arabia, for funding this research. <br><br><font color="red"><b> Link to the corrected article <u><a href="http://dx.doi.org/10.2298/JSC230307050E">10.2298/JSC230307050E</a></b></u>

Proposal to improve the process of administration of projects financed by CONACYT by the Treasuries of the Universities of Campeche

The treasuries of the universities and educational institutions of the state of Campeche, have processes for the administration of projects that are generally made up of many steps to follow to carry out the different procedures such as payments to suppliers, per diems, scholarships, among others, which usually takes from days to weeks, making it impossible to meet the commitments made by the institution. The objective of this work is to evaluate the flow of the current financial administration process of the projects of the National Council of Science and Technology (CONACYT) to propose a reengineering of the processes. The technique of direct observation and the survey was applied to learn from the users the perspective of the administrative process and to identify critical points in conflict. The study of time and movement proposed by Tejada et al (2017) was applied, a tool that determines the standard times of the operations that make up a process; and the movements of the people involved to carry out said operation. With this application of this method, the following were achieved: minimizing the time required in each step and the costs, providing a reliable and high-quality process, eliminating inefficient steps, and accelerating the efficient ones.

From Nanomaterials to Well-Defined Structures: Exploring Layer-bylayer Assembly Techniques

Abstract: Layered assemblies are essential in materials nanoarchitectonics, which organize nanomaterials into well-defined structures. This overview highlights the significance, advancements, challenges, and future directions of layered assembly. The layer-by-layer (LBL) process relies on electrostatic interactions and self-assembly, which are influenced by factors such as charge, pH, and environmental conditions. Solution-based, vapor-phase, and templateguided methods offer distinct advantages and limitations for tailoring the layered structures. Polymeric, inorganic, and hybrid nanomaterials have diverse functionalities for specific applications. Surface modification, functionalization techniques, templating, and patterning methods play key roles in the customization of layered structures. Integration of stimuli-responsive assemblies enables dynamic control and advanced functionality. Characterization techniques, including spectroscopy and microscopy, provide insights into the structure, morphology, and properties of the layered assemblies. The evaluation of the mechanical and electrical properties enhances the understanding of their behavior and suitability for applications. Layered assemblies find applications in biomaterials, optoelectronics, energy storage, and conversion, promising advances in tissue engineering, optoelectronic devices, and battery technology. Challenges in scalability, stability, and material selection necessitate interdisciplinary collaboration, process standardization, innovation, optimization, and sustainability. Advanced characterization techniques and artificial intelligence (AI) integration hold promise for future advancements in layered assemblies. Layered assemblies have great potential in materials science and technology, offering precise control over the structure and functionality of breakthroughs in various applications. Continued research and collaboration will drive progress in this field and pave the way for innovative materials and technologies. Scientists are encouraged to explore the possibilities of layered assemblies, unlock novel solutions to global challenges, and shape the future of nanomaterial engineering.

Effect of adequate academic staff-mix on staff job performance in south-eastern Nigeria Universities

The study examined the effect of adequate academic staff mix on staff job performance in south eastern Nigeria universities. Descriptive survey research design was adopted for the study. The population for the study consisted all academic staff of public universities in south eastern Nigeria. six hundred (600) academic staff were sampled using multistage sampling technique which involves random selection of three (3) Federal universities of university of Nigeria Nsukka, Nnamdi Azikiwe university Awka and Federal university of Technology Owerri and three (3) state universities of Enugu state university of science and technology, Chukwuemeka Odimegwu university and Imo state university. Four (4) faculties of Environmental Sciences, Natural/Physical Sciences, Engineering and Agricultural Sciences were purposefully selected based on government’s aspiration as enunciated in the National Policy on Education to advance science and technology in the country. A random selection of twenty-five (25) academic staff from each faculty were used for the study. Two sets of instruments titled Academic staff job performance questionnaire (ASJPQ) and Academic Manpower Adequacy Inventory (AMAI) were used for the study. The two instruments were validated and had a reliability coefficient of 0.71. Data collected were analyzed using descriptive statistics mean, standard deviation and percentages. The hypotheses formulated were tested at 0.05 level of significance. The study revealed that academic staff mix is significantly related to academic staff job performance. Based on the findings of the study it was recommended that federal and state universities in south eastern Nigeria, should scale up recruitments of more academic staff especially the senior academics to ensure improved academic staff job performance.

Integrated innovation of smart materials and product design from the perspective of design intelligence

Materials are the physical basis and carrier of product design, and the selection of materials is an important part of product design. With the continuous exploration of materials, smart materials have become a hot topic in science and technology innovation. This study uses the winning entries of industrial design awards in the past five years as the data source, and 54 design entries using smart materials for innovative design were obtained after retrieval. The current status of the application of smart materials in product design has been summarised through classification analysis, case analysis and comparative analysis. It is found that the integrated innovation of smart materials and product design is still relatively simple. There is still a lot of space for the development of the application of smart materials in product design. In terms of the existing ways of integration of smart materials and product design, this study proposes that the future integration of product design and smart materials can be innovated from biology, ecology, sensing and computing perspectives through methods such as bionic design, sustainable design, personalised design and parametric design. This study provides a reference for the application of smart materials and new creative expressions in future product design and proposes a new trend for the integration of smart materials and product design in the future.

Artificial Intelligence Governance and China’s Experience under the Community of Common Destiny for Mankind Concept

In recent years artificial intelligence (AI), backed by big data and the Internet, hasbeen rapidly developing and determining the future direction of the world’s scienceand technology development. Although artificial intelligence is beneficial to the scientific and technological revolution and industrial modernization of mankind, it hasalso brought new risks. People pay more and more attention to the potential risks ofartificial intelligence that should be effectively managed. Artificial intelligence risksare characterized by the diversity of technological threats, the similarity of AI risksfaced by different countries and the high complexity of governance, something thatrequires concerted efforts by all countries. It is necessary to carry out the development of artificial intelligence in the country from the perspective of the commoninterests of mankind, ensure the safety and manageability of artificial intelligence,and strengthen international cooperation. At present Western countries advocatethe concept of technological hegemony and technological monopoly, and developing countries have little opportunity to express their opinions on the governance ofartificial intelligence, and China’s Community of the Common Destiny for MankindConcept is necessary for the governance of artificial intelligence. Based on that concept, the paper explores China’s new practices and proposals for the domestic andinternational AI governance. In response to the problem of overuse and misuse ofnew technologies, China proposes to establish an artificial intelligence governancesystem that includes joint management by various actors, open and transparent regulation, comprehensive consultations, and the development of effective evidence-based laws, so as to promote the beneficial development of artificial intelligence inthe future and contribute to the deepening of AI governance based on the Chineseproposal.

MUDANÇAS CLIMÁTICAS NO BRASIL E NA EUROPA: UMA PERCEPÇÃO CIENTÍFICA-TECNOLÓGICA

The global standard is considered one of the greatest scientific paradigms of contemporaneity.Thus,the article presents the objective of presenting, through published research, the concern of thepopulations of countries of countries and of Brazil regarding climate change. The applied researchmethods cover theoretical studies from a bibliographic review, quantitative-qualitative approach withthe purpose of numerical and statistical comparative studies regarding theamount of scientificpublications regarding Brazil in relation to European countries to thematic change of climate change.Therefore, the concern of the Brazilian population regarding climate change stands out, in addition toconsidering this area extremely necessary for a greater development of initiatives in science andtechnology. European countries, especially young people, are significantly when it comes to climatechange. Producer countries are not efficient among the largest investors and the growthof theirnatural social resources is efficient.

Social Studies of Scienceand Technology: New ways to illuminate challenges in training for health information technologies utilisation.

Electronic health records (EHRs) have transformed clinical practice. They are not simply replacements for paper records but integrated systems with the potential to improve patient safety and quality of care. Training physicians in the use of EHR is a highly complex intervention that occurs in a dynamic socio-technical health system. Training in this complex space is considered a wicked problem and would benefit from different analytic approaches to the traditional linear causal relationship analysis. Social Sciences theories see technological change in relation to complex social and institutional processes and provide a useful starting point. Our aim, therefore, is to introduce the medical education scholar to a selection of theoretical approaches from the Social Studies of Science and Technology (SSST) literatures, to inform educational efforts in training for EHR use. We suggest a body of theories and frameworks that can expand the epistemological repertoire of medical education scholarship to respond to this wicked problem. Drawing from our work on EHR implementation, we discuss current limitations in framing training for EHRs use as a research problem in medical education. We then present a selection of alternative theories. Unified Theory of Acceptance and Use of Technology (UTAUT) explains the individual adoption of new technologies in the workplace and has four key constructs: performance/effort expectancy, social influence and facilitating conditions. Social Practice Theory (SPT), rather than focusing on individuals or institutions, starts with the activity or practice. The socio-technical model (STM) is a comprehensive theory that offers a multidimensional framework for studying the innovation and application of EHRs. Practical examples are provided. We argue that education for effective utilisation of EHRs requires moving beyond the epistemological monism often present in the field. New theoretical lenses can illuminate the complexity of research to identify the best practices for educating and training physicians.

Nuclear physics in Russia is 100 years old

This review gives the history of the development of nuclear physics since the 1920s. The most significant discoveries in nuclear physics and their introduction into the world economy are described. The analysis of the current state of the achievements of nuclear physics in the national economy of Russia and the prospects for their development in the future are carried out. The brightest nuclear projects in world and Russian science and technology are discussed.

A new insight into the vertical differences in NO2 heterogeneous reaction to produce HONO over inland and marginal seas

Abstract. Ship-based multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements were conducted along the marginal seas of China from 19 April to 16 May 2018 to measure the vertical profiles of aerosol, nitrogen dioxide (NO2), and nitrous acid (HONO). Along the cruise route, we found five hot spots with enhanced tropospheric NO2 vertical column densities (VCDs) in the Yangtze River Delta, Taiwan Strait, Guangzhou–Hong Kong–Macau Greater Bay Area, port of Zhanjiang, and port of Qingdao. Enhanced HONO concentrations could usually be observed under high-level aerosol and NO2 conditions, whereas the reverse was not always the case. To understand the impacts of relative humidity (RH), temperature, and aerosol on the heterogeneous reaction of NO2 to form HONO in different scenarios, the Chinese Academy of Meteorological Sciences (CAMS) and Southern University of Science and Technology (SUST) MAX-DOAS stations were selected as the inland and coastal cases, respectively. The RH turning points in CAMS and SUST cases were both ∼ 65 % (60 %–70 %), whereas two turning peaks (∼ 60 % and ∼ 85 %) of RH were found in the sea cases. As temperature increased, the HONO / NO2 ratio decreased with peak values appearing at ∼ 12.5∘C in CAMS, whereas the HONO / NO2 gradually increased and reached peak values at ∼ 31.5∘C in SUST. In the sea cases, when the temperature exceeded 18.0∘C, the HONO / NO2 ratio rose with increasing temperature and achieved its peak at ∼ 25.0∘C. This indicated that high temperature can contribute to the secondary formation of HONO in the sea atmosphere. In the inland cases, the correlation analysis between HONO and aerosol in the near-surface layer showed that the ground surface is more crucial to the formation of HONO via the heterogeneous reaction of NO2; however, in the coastal and sea cases, the aerosol surface contributed more. Furthermore, we discovered that the conversion rate of NO2 to HONO through heterogeneous reactions in the sea cases is larger than that in the inland cases in higher atmospheric layers (> 600 m). Three typical events were selected to demonstrate three potential contributing factors of HONO production under marine conditions (i.e., transport, NO2 heterogeneous reaction, and unknown HONO source). This study elucidates the sea–land and vertical differences in the forming mechanism of HONO via the NO2 heterogeneous reaction and provides deep insights into tropospheric HONO distribution, transforming process, and environmental effects.

P‐2.3: Simultaneous localization and Mapping Method Based on Mechanical Lidar

With the progress of society and the development of science and technology, automatic driving, as the advanced stage of assisted driving, has become one of the most promising research directions in the future. The premise of realizing automatic driving is to accurately and efficiently perceive the surrounding environment, and SLAM technology can fuse multiple sensors to estimate the position and position of the vehicle, which is widely used in the construction of environmental maps. In real life, the environment in the process of car driving is often composed of dynamic people and vehicles. However, the SLAM algorithm based on static scene is easy to form wrong matching relationship when it performs point cloud matching in dynamic scene. Therefore, based on the dynamic object environment, this paper adopts the multi‐sensor fusion method, improves the frontend odometer on the basis of LIO‐SAM algorithm, adds semantic information to the lidar odometer, removes the dynamic object and improves the accuracy of point cloud registration. The experimental results show that the proposed method can filter the dynamic objects in the dropped point cloud data in the dynamic scene, and the mapping effect is better than that of the pure geometric method.

Database Development in Using and Maintaining Machine and its accessories at SMK Muhammadiyah Kartasura and Jatinom Klaten in Community service

The aim of the program was community service types of application of science and technology byDatabase Creation and Usage Machine Maintenance and its Equipment at Muhammadiyah Kartasura and Jatinom Klaten as Vocational School to support the practicum process in the Muhammadiyah Vocational School laboratory. The implementation method wasbysynchronize basic inventory, then made a data base application by means of machine tools sticking with barcodes on a laboratory scale. With this activity, its will facilitating the implementation of routines and practicum readiness from time to time. Thus at the same time this will add value to the teaching and learning process atSMK which includes 40% theory and 60% practice manufacture.Through this activity it will also add value to their vocation which will bring the world of education and industry much closer, especially in the field of goods assembling and manufacturing.From observations while working with partners, namely SMK Muhammadiyah Kartasura and SMK Muhammadiyah Jatinom Klaten, the obstacle faced is in coaching on the creation of a data base for the use and maintenance or readiness of tools for practice. The process of creating a database of equipment,usage and conditions,this will support the continuity of the practicum process smoothly. The making of this database will be transmitted and will become provision for students primarily for competence in the areaof manufacturing work or for future entrepreneurship. So it is expected from this process, students and teachers get a new way of learning, useful for students and the existence of the SMK in the future, particularly in learning assembly making and thinking steps to control the underlying equipment. Thus the students have enough competence and adaptive when entering the world of work related to the process design based on data collection and monitoring using technology growing of smartphones

Shaping polarization within an ultrafast laser pulse using dielectric metasurfaces

Coherent light–matter interactions on the femtosecond time scale form the backbone of ultrafast science and technology, where the instantaneous state of light is used to control and detect the interaction of light with matter. Here, the polarization state of light has proven pivotal in unveiling intrinsic chiral or anisotropic optical response in various material systems, and it is critical for applications requiring complex polarization encoding including in spectroscopy, telecommunications, and coherent control. While wave plates in various forms play a crucial role in shaping the landscape of polarization management, engineering the instantaneous state of polarization within an ultrafast pulse for an arbitrary input-polarization remains challenging. Here, by leveraging the nanoscale multidimensional control of light offered by metasurfaces, we engineer the temporal evolution of the instantaneous polarization state of a femtosecond pulse through parallel manipulation of its constituent spectral components across an ultrawide bandwidth. We expect such control over the synthesis of complex vectorially shaped pulses to further elucidate ultrafast chiral light–matter interactions.

Identification of organic compounds using artificial neural networks and refractive index

Identification of chemical compounds has many applications in science and technology. However, this process still relies significantly on the knowledge and experience of chemists. Thus, the development of techniques for faster and more accurate chemical compound identification is essential. In this work, we demonstrate the feasibility of using artificial neural networks to accurately identify organic compounds through the measurement of refractive index. The models were developed based on the refractive index measurements in different wavelengths of light, from UV to the far-infrared region. The models were trained with about 250,000 records of experimental optical constants for 60 organic compounds and polymers from published literature. The models performed with accuracies of up to 98 %, with better performance observed for the refractive index measurements across the visible and IR regions. The proposed models could be coupled with other devices for autonomous identification of chemical compounds using a single-wavelength dispersive measurement.

From isolation to constellation: Narrative focalisation in current technology disclosures

In this article, I explore focalisation in the mediated account of universitytechnology disclosures, a relatively recent digital genre for science andtechnology commercialisation and institutional promotion through onlinedissemination and outreach. Born in academic settings, this genre is still in-themakingand highly susceptible to discursive hybridity. My study draws on aneclectic framework that combines the principles of Netnography with NarrativeInquiry, (Critical) Genre and Multimodal Analysis, and Positioning Theory toexamine the teller’s role and the telling practices contained in two types ofinterrelated documents published by the Universidad Politécnica de Madrid onits webpage: the institution’s current Technologies Portfolio and a series of salient inhouseinnovative technologies/projects rendered in comic-book format, both intheir English version.
 The scrutiny of the 134 samples of the Portfolio and of the 12 instances ofcomic-books reveals how the hybridity generated by digital affordancesinfluences narrative and, along with it, promotional strategies. I lay specialemphasis on the concept of ‘narrative focalisation’ and attempt to answer thefamous Goffmanian question “Who is speaking?”, making the point that genrenetworking is a way of telling and ultimately of institutional branding.

Pemanfaatan Marketplace Shopee Untuk Menunjang Pemasaran Produk Madu Trigona di Desa Gisting Atas

Community service By utilizing honey bee cultivation fromthe Trigona sp. species, honey bees are used as an additionalbusiness opportunity by utilizing the home page as a placefor honey bee cultivation, and there are not a few people whodeliberately use gardens as a place for cultivation. This isdone to improve the economy and welfare, especially forhoney bee farmers who are members of the "KelompokUsaha Perhutanan Sosial (KUPS)" as well as the communityand youth of residents around Gisting Atas Village, GistingDistrict, and Tanggamus Regency. This service is analyzedby the descriptive qualitative method, which is designed todescribe the entrepreneurial spirit. The method ofcommunity service in the study includes observation andquestion-and-answer interviews. The author deliversmaterial with coordination and communication, counselingand training, as well as socialization of science andtechnology training and the use of technology in makingbrands so that the brand can be patented and marketedwidely by utilizing technological advances through themarketplace and the public can find out how the process ofmaking a brand is, beginning with designing using theCanva application and ending with marketing using theShopee application.

A scalable, black-box hybrid genetic algorithm for continuous multimodal optimization in moderate dimensions

Optimization problems can be found in many areas of scienceand technology. Not only the global optimum, but also a(large) number of near-optima are often of interest. Thisgives rise to what are referred to as multimodal optimizationproblems. In most cases, the number and quality of the optimaare unknown and assumptions cannot be made about theobjective functions. In this paper, we focus on continuous,unconstrained optimization in moderately high-dimensionalcontinuous spaces (d ≤ 10).We present a scalablealgorithm with virtually no parameters, which performs wellfor general objective functions (non-convex, discontinuous).It is based on two well-established algorithms (CMA-ES,deterministic crowding). Novel elements of the algorithminclude the detection of seed points for local searches andcollision avoidance, both based on nearest neighbors, and astrategy for semi-sequential optimization to realize scalability.The performance of the proposed algorithm is numericallyevaluated using the CEC2013 niching benchmark suite for1 − 20 dimensional functions, and a 9 dimensional real-worldproblem from constraint optimization in climate research.The algorithm performs well in relation to the CEC2013benchmarks and only falls short on higher dimensional andstrongly inisotropic problems. In the case of the climate-related problem, the algorithm is able to find a high number(> 150) of optima of relevance to climate research. Theproposed algorithm does not require special configuration forthe optimization problems considered in this paper, i.e., itshows good black-box behavior.