Coordination Problems Research Articles

Варианты взаимосогласования индивидов со сходными и различающимися психологическими характеристиками

<p>The article considers the problem of coordination of individual experience in the situation when individuals achieve a collective result. In terms of the system-evolutionary approach, such coordination is described as mutual-co-operation. The aim of the study was to evaluate possible variants of individual experience coordination in the conditions of joint solution of textual tasks (in dyads). Analytical logical ("Knights and Liars", "Grid-logic") and holistic ("Anagrams", "Moral Judgements") textual problems were used. Two criteria for distinguishing dyads were tested: 1. "Analytic-Holistic" of individuals and 2. "Groups representing different ways of solving". It was hypothesized that if individuals had different psychological characteristics ("analytic-holistic"), they would be more effective on both analytic and holistic tasks due to inter-individual complementarity, and if they were similar ("analytic-analytic" or "holistic-holistic"), they would be more effective on either analytic or holistic tasks. Although the relationship of performance with complementarity in problem solving according to the criterion "Analytic-Holistic" was found, the relationship with complementarity according to the criterion "Groups representing different ways of solving" turned out to be more pronounced. The belonging of individuals in the dyad to groups similar in the ways of problem solving may contribute to the mentioned performance to a greater extent. Thus, complementarity can be both for different and similar characteristics, which is consistent with the position on the necessity of mutual co-interaction of the degrees of freedom of individuals to achieve a collective result.</p>

Mental health in secondary school-aged children with epilepsy and their primary caregivers: A case control study

PurposeTo describe the prevalence and associated factors of mental health problems in secondary school-aged (11–16 years) children with epilepsy and their primary caregivers compared to a control group without epilepsy. MethodsChildren with epilepsy (n = 60), controls (n = 49), and caregivers (n = 60 epilepsy and n = 49 control group) completed a measure of the child's mental health (Strengths and Difficulties Questionnaire; SDQ). Primary caregivers in both groups completed a measure of their own mental health (Depression, Anxiety, and Stress Scale-21; DASS-21). Factors associated with child and caregiver mental health in the epilepsy group were explored using linear regression. ResultsThere were no significant differences between the epilepsy and control group regarding age, gender, ethnicity and socioeconomic status. A higher proportion of children with epilepsy scored in the at-risk range on the SDQ indicating more mental health problems than the control group, as reported by the children (45% vs. 24 %) (p = 0.026) and caregivers (52% vs. 14 %) (p < 0.001). Primary caregivers of children with epilepsy had more symptoms of depression (p = 0.001), anxiety (p = 0.028) and stress (p = 0.019) than caregivers in the control group. Children with epilepsy with greater motor coordination problems had greater mental health difficulties. Children with epilepsy with more mental health difficulties had caregivers with more difficulties and caregivers of children with earlier onset of seizures had more mental health difficulties. ConclusionsEpilepsy confers a high risk for mental health problems in adolescents and their primary caregivers. There is a need to better understand the relationship between caregiver and child mental health difficulties in epilepsy.

Research on dynamic pricing and coordination model of fresh produce supply chain based on differential game considering traceability goodwill

This study aims to solve the current pricing and coordination problems in the fresh produce supply chain by proposing a dynamic pricing and coordination differential game model based on traceability goodwill to optimize the operational efficiency and profitability of the supply chain. Freshness and traceability are critical consumer trust and brand value factors incorporated into the dynamic pricing and coordination model in the agricultural supply chain. The research methodology of this paper integrates critical factors such as supply chain cost and market demand to construct a comprehensive differential game model. It also highlights the motivation of dynamic pricing strategy and coordination mechanism based on traceability goodwill. Through traceability goodwill, operating companies can better assess and manage product quality and improve consumer trust in agricultural products, thus enhancing brand value. The dynamic pricing strategy based on traceability goodwill can flexibly adjust prices according to changes in the quality characteristics of agricultural products and market demand, realizing a dynamic balance between supply and demand. On the other hand, the mutual cost-sharing and coordination mechanism promotes the synergy between the various links of the supply chain. It improves overall efficiency through cooperation coo, coordination, and other means. The validity and reliability of the model are verified through numerical simulation experiments. The numerical simulation results show that the dynamic pricing and coordination model based on traceability will significantly improve supply chain efficiency and profitability compared with the traditional model. Specifically, the interests of supply chain participants are balanced, and the overall supply chain operational efficiency is improved. The main contribution of this study is to propose a dynamic pricing and coordination model based on traceability goodwill and verify its superiority through numerical simulation experiments. This study provides a valuable reference for fresh agricultural products supply chain management and offers new ideas for improving supply chain efficiency and profitability.

Experiences of adolescents affected by earthquakes: A qualitative study.

The aim of the study is to explore the experiences of adolescents affected by the earthquake. This study was carried out in a descriptive phenomenological design, which is a qualitative research method. This research was conducted as a qualitative investigation utilizing a phenomenological approach to explore the experiences of 12 adolescents through the purposeful snowball sampling method. The interviews were conducted with adolescents who affected by the Kahramanmaraş earthquakes in a city located in the west of the country, between March 18, 2023 and June 30, 2023. Semistructured interviews were employed, and the data underwent inductive content analysis. COREQ reporting guidelines were used. The participants in this study vividly recounted experiencing intense fear and panic during the earthquake. Subsequent challenges emerged from the lack of coordination in aid efforts, struggles to secure shelter and necessities, and the profound loss of relatives. These adversities posed considerable physical and psychological challenges. Notably, the adolescents' ability to reflect on their past lives and reshape their perspectives proved instrumental in facilitating their adaptation to a new life. However, witnessing the demise of loved ones, grappling with the fear of death and loss, and incessantly discussing the earthquake hindered their adjustment. We found that adolescents experienced the quakes in three phases: in the moment, postquake, and adaptation to new life. The first theme underscores the limitations of current effectiveness of quake training. This finding has important implications for policy to better prepare the adolescent population for quake disasters. The second theme reveals that the communication and coordination problems experienced after the earthquake enable the weaknesses of the system to be noticed and political steps should be taken in this direction. The third theme focuses on the factors that increase or decrease the psychosocial adaptation of adolescents who have experienced this traumatic experience to the new life. This provides important clues to improve and support adolescent health.

Inverse-time protection method of pumped-storage unit vibration

Vibration protection is a reliable mean for safe operation of rotating machinery. In recent years, vibration protection of pumped storage unit gets more and more complicated, resulting in an increasing risk of vibration protection system failure. Focusing on vibration characteristics of pumped-storage units, the inverse-time vibration protection method for of pumped-storage unit vibration was proposed based on material fatigue damage curve and linear damage accumulation theory. Difficulties of determining damage level were provided on applying damage accumulation method to vibration protection. Simplified inverse-time protection method for vibration of pumped-storage unit was proposed, and research showed that the inverse-time vibration protection threshold should be set according to vibration accumulation that avoids all unit transient processes, the reliability coefficient can be determined from 1.5 to 2.0, the refresh periods of unit vibration characteristic values do not affect the cumulative calculation results, and the inverse-time vibration protection has characteristic of self-returning. The vibration protection method based on inverse-time has the advantages of reliable principle, simple logic, and easy implementation. It has the characteristics of reliability, selectivity, sensitivity, and rapidity as relay protection in electric engineering. It solves the problem of dual parameter coordination in the traditional protection strategy with fixed threshold and fixed time delay. The method can be extended to the vibration protection of other types of rotating machinery.

НАУКОВО-МЕТОДИЧНІ ЗАСАДИ РЕСТРУКТУРИЗАЦІЇ ВИРОБНИЧОГО ПРОЦЕСУ

Batch production is typical for engineering enterprises connected with aeronautical engineering manufacturing. One of its main problems is the need to periodically change the production pattern which arises as a result of the instability of the products range, changes in volume of series, moral and physical wear of technological equipment. Such a change is carried out in the course of reconstruction and technical re-equipment in order to improve the efficiency of material flows.The main characteristics of material flows are determined by a spatial component of a flexible manufacturing system pattern, set by the machine tools laying according to the organization of batch process. The bulk of the cost of final product manufacturing is associated with the arrangement of material flows. In order to reduce the total costs it is necessary to improve the pattern of production by establishing a technology-oriented machine tools laying. In this case, there is a need to develop scientific and methodological basis of restructuring the manufacturing process.One of the most effective approaches to the design of machine building plants with a batch type of manufacturing is the use of program-target method based on the methodology of choosing the best technological solutions.Modern methodology of batch technologies design is based on the system approach to the analysis and synthesis of the basic structure of the manufacturing processes, which allows to apply mathematical simulation.The orientation of each of the sites on the end result leads to a substantial reduction of manufacturing costs, which significantly simplifies solving problems of division and coordination of labor on the principles of self-organization and self-regulation.The proposed mathematical model of manufacturing costs optimization is designed in accordance with all the aforementioned principles. The problem being solved is multiobjective. That is why the mathematical model has several goal functions them requiring finding peak values and some of them requiring finding the bottom values.The model can be applied in organizing the aeronautical engineering manufacturing, which requires effective remounting during the change of product range thus ensuring the required flexibility of manufacturing.

Learning to Fight Together: UN Peacekeeping Coalitions and Civilian Protection

Abstract Since the end of the Cold War, the United Nations has increasingly used peacekeeping operations (PKOs) to manage crises between and within states. The mandates of contemporary PKOs are demanding, calling on peacekeeping personnel to separate belligerent parties, enforce ceasefire agreements, and protect the physical security of civilians. The pursuit of these distinct objectives presents a unique challenge for the UN because it relies on member states to volunteer personnel for these missions. Therefore, the achievement of mandated goals depends on the ability of diverse national contingents to overcome coordination problems and function as a cohesive force. Integrating research of PKOs and international military coalitions, we argue that as national contingents share operational experience within a UN mission, they develop common institutional practices, and become more effective at protecting the civilian population. Using monthly data on UN PKOs from 1990 to 2019, we find that increasing operational experience within a peacekeeping coalition reduces civilian fatalities significantly.

From the philosophy of measurement to the philosophy of classification: Generalizing the problem of coordination and historical coherentism

The objective of this paper is twofold. First, I present a framework called historical coherentism (Chang, 2004; Tal, 2016; Van fraassen 2008) and argue that it is the best epistemological framework available to tackle the problem of coordination, an epistemic conundrum that arises with every attempt to provide empirical content to scientific theories, models or statements. Second, I argue that the problem of coordination, which has so far been theorized only in the context of measurement practices (Reichenbach, 1927; Chang, 2001; Tal, 2012; Van fraassen 2008), can be generalized beyond the philosophy of measurement. Specifically, it will be shown that the problem is embodied in classificatory practices and that, consequently, historical coherentism is well suited to analyze these practices as well as metrological ones. As a case study, I look at a contemporary debate in phylogenetics, regarding the evolutionary origin of a newly identified archaeal phylum called Methanonatronarchaeia. Exploring this debate through the lens of historical coherentism provides a detailed understanding of the dynamics of the field and a foothold for critical analyses of the standard rationale used by practitioners.

Coupled Memristor Oscillators for Neuromorphic Locomotion Control: Modeling and Analysis.

The recent surge of interest in brain-inspired architectures along with the development of nonlinear dynamical electronic devices and circuits has enabled energy-efficient hardware realizations of several important neurobiological systems and features. Central pattern generator (CPG) is one such neural system underlying the control of various rhythmic motor behaviors in animals. A CPG can produce spontaneous coordinated rhythmic output signals without any feedback mechanism, ideally realizable by a system of coupled oscillators. Bio-inspired robotics aims to use this approach to control the limb movement for synchronized locomotion. Hence, devising a compact and energy-efficient hardware platform to implement neuromorphic CPGs would be of great benefit for bio-inspired robotics. In this work, we demonstrate that four capacitively coupled vanadium dioxide (VO2) memristor-based oscillators can produce spatiotemporal patterns corresponding to the primary quadruped gaits. The phase relationships underlying the gait patterns are governed by four tunable bias voltages (or four coupling strengths) making the network programmable, reducing the complex problem of gait selection and dynamic interleg coordination to the choice of four control parameters. To this end, we first introduce a dynamical model for the VO2 memristive nanodevice, then perform analytical and bifurcation analysis of a single oscillator, and finally demonstrate the dynamics of coupled oscillators through extensive numerical simulations. We also show that adopting the presented model for a VO2 memristor reveals a striking resemblance between VO2 memristor oscillators and conductance-based biological neuron models such as the Morris-Lecar (ML) model. This can inspire and guide further research on implementation of neuromorphic memristor circuits that emulate neurobiological phenomena.

Multi‐Team Shared Expectations Tool (MT‐SET): An Exercise to Improve Teamwork Across Health Care Teams

Care transitions among high-intensity units caring for patients with complex needs are a critical yet undeveloped area of patient safety research. In addition, effective communication and coordination across disciplines remain elusive. This study introduces and tests the Multi-Team Shared Expectations Tool (MT-SET), an exercise that aims to engage health care teams in eliciting needs and establishing agreed-upon expectations teams and individuals within a multi-team system have of one another. We piloted the exercise within hospital-based workflows for oncology inpatients and later adopted it to elicit data on mutual needs and expectations of teams across units involved in patient transitions in two patient safety projects. Our studies demonstrated that the exercise identified common cross-unit coordination problems of delays in care, unwanted variations in care, and lack of standardized communication among units. It also revealed mismatched prioritization of each of these problems between specific unit types. The participants reported that the MT-SET helped establish positive relationships for building better cross-unit and cross-disciplinary teamwork and coordination. There is a need for systematic approaches to understand and facilitate cross-unit communication and coordination in care delivery and transitions. Future studies should broaden the application of the exercise to additional types of multi-unit and multidisciplinary teams and observe intervention ideas generated from the exercise, as well as their implementation.

ISO 20022 : A migration strategy in securities markets for corporate events and triparty collateral management

Anyone involved in processing corporate events and triparty collateral management needs automation and efficiency. A general transition to ISO 20022, the latest messaging standard available, will support further automation across Europe. Its rigorous structure and richer content — compared with the legacy standard ISO 15022 — enables efficient use of collateral across European financial markets and a harmonised process for asset servicing. The Eurosystem and the financial community have developed a Single Collateral Management Rulebook for Europe (SCoRE) setting out how to use ISO 20022. The adoption of this rulebook starts in November 2024 and use of the ISO 20022 format will then become increasingly common. The main issue is how long the legacy standard and local formats should run alongside ISO 20022. Market actors have not yet agreed on how long the transition should last because of a collective coordination problem. The result is a situation where everyone is worse off. To overcome this, a market-wide migration strategy is needed based on cooperation and incentives to define the point from which only ISO 20022 will be used. The Eurosystem is acting as catalyst for a common migration strategy to ISO 20022 because of the benefits it will bring to society.

MSL2 variants lead to a neurodevelopmental syndrome with lack of coordination, epilepsy, specific dysmorphisms, and a distinct episignature

Epigenetic dysregulation has emerged as an important etiological mechanism of neurodevelopmental disorders (NDDs). Pathogenic variation in epigenetic regulators can impair deposition of histone post-translational modifications leading to aberrant spatiotemporal gene expression during neurodevelopment. The male-specific lethal (MSL) complex is a prominent multi-subunit epigenetic regulator of gene expression and is responsible for histone 4 lysine 16 acetylation (H4K16ac). Using exome sequencing, here we identify a cohort of 25 individuals with heterozygous de novo variants in MSL complex member MSL2. MSL2 variants were associated with NDD phenotypes including global developmental delay, intellectual disability, hypotonia, and motor issues such as coordination problems, feeding difficulties, and gait disturbance. Dysmorphisms and behavioral and/or psychiatric conditions, including autism spectrum disorder, and to a lesser extent, seizures, connective tissue disease signs, sleep disturbance, vision problems, and other organ anomalies, were observed in affected individuals. As a molecular biomarker, a sensitive and specific DNA methylation episignature has been established. Induced pluripotent stem cells (iPSCs) derived from three members of our cohort exhibited reduced MSL2 levels. Remarkably, while NDD-associated variants in two other members of the MSL complex (MOF and MSL3) result in reduced H4K16ac, global H4K16ac levels are unchanged in iPSCs with MSL2 variants. Regardless, MSL2 variants altered the expression of MSL2 targets in iPSCs and upon their differentiation to early germ layers. Our study defines an MSL2-related disorder as an NDD with distinguishable clinical features, a specific blood DNA episignature, and a distinct, MSL2-specific molecular etiology compared to other MSL complex-related disorders.

Distance optimization and directional overcurrent relay coordination using edge-powered biogeography-genetic algorithms

The effective functioning and regulation of power systems crucially rely on the coordination of distance and directional overcurrent relays. Accurate fault detection and successful clearing sequences require support for each relay and the maintenance of the coordination time interval (CTI) between major distance relays, directional overcurrent relay support, and other relay zones. Efficiently initiating relays while adhering to complex coordination limitations poses a challenging task that demands innovative solutions. This study addresses the intricate problem of relay coordination by employing heuristic methods, specifically genetic algorithms (GA) and biogeography-based optimization (BBO), in both a 9-bus and 39-bus system. The primary objective is to determine the most efficient time setting factor (TSM) that minimizes the duration of relay operation. Additionally, the intelligent features of the overcurrent relay are carefully chosen to enhance the research's results. The integration of edge computing capabilities plays a significant role in advancing this coordination method. By incorporating advanced algorithms and communication technologies at the edge, the prompt activation of relays becomes possible, thereby meeting coordination demands. This study explores the combination of edge-based servers with genetic algorithms (GA) and biogeography-based optimization (BBO) techniques to enhance relay coordination. The findings indicate a notable enhancement compared to conventional approaches. However, comparative research suggests that BBO's performance is similar to GA, without a distinct advantage in achieving higher outcomes.

Deep Reinforcement Learning for Ecological and Distributed Urban Traffic Signal Control with Multi-Agent Equilibrium Decision Making

Multi-Agent Reinforcement Learning (MARL) has shown strong advantages in urban multi-intersection traffic signal control, but it also suffers from the problems of non-smooth environment and inter-agent coordination. However, most of the existing research on MARL traffic signal control has focused on designing efficient communication to solve the environment non-smoothness problem, while neglecting the coordination between agents. In order to coordinate among agents, this paper combines MARL and the regional mixed-strategy Nash equilibrium to construct a Deep Convolutional Nash Policy Gradient Traffic Signal Control (DCNPG-TSC) model, which enables agents to perceive the traffic environment in a wider range and achieves effective agent communication and collaboration. Additionally, a Multi-Agent Distributional Nash Policy Gradient (MADNPG) algorithm is proposed in this model, which is the first time the mixed-strategy Nash equilibrium is used for the improvement in the Multi-Agent Deep Deterministic Policy Gradient algorithm traffic signal control strategy to provide the optimal signal phase for each intersection. In addition, the eco-mobility concept is integrated into MARL traffic signal control to reduce pollutant emissions at intersections. Finally, simulation results in synthetic and real-world traffic road networks show that DCNPG-TSC outperforms other state-of-the-art MARL traffic signal control methods in almost all performance metrics, because it can aggregate the information of neighboring agents and optimize the agent’s decisions through gaming to find an optimal joint equilibrium strategy for the traffic road network.

Types of communications technology and civil conflict

Why do different types of information and communications technologies (ICTs) differentially relate to civil conflict incidence? We distinguish one-way (radio; television) from two-way ICTs (phone; internet; social media), contrasting technologies enabling one-directional broadcasting against technologies facilitating dialogue. The former predominantly allow rulers to misinform rebels about attainable rents, which, according to our theoretical framework, consequentially reduces conflict potential. However, two-way ICTs primarily help rebels overcome communication and coordination problems, which ultimately increases conflict potential. Strong political institutions are predicted to weaken these relationships but should remain unable to overturn their signs. Empirically, we observe consistent patterns in (i) country-level panel analyses of civil conflict and (ii) individual-level survey responses eliciting anti-government attitudes. Radio and television availability and usage consistently emerge as negative predictors of conflict incidence and anti-government attitudes — but less so under strong political institutions. Opposite results materialize for mobile phone, internet, and social media availability and usage.

Multi-Agent Distributed Optimal Control for Tracking Large-Scale Multi-Target Systems in Dynamic Environments.

This article considers the problem of motion coordination for a multiagent (MA) network whose goal is to track a large-scale multitarget (MT) system in a region populated by dynamic obstacles. We first characterize a density path which corresponds to the expected evolution of the macroscopic state of the MT system, which is represented by the probability density function (PDF) of a time-varying Gaussian mixture (GM). We compute this density path by using an adaptive optimal control method which accounts for the distribution of the (possibly moving) obstacles over the environment described by a time-varying obstacle map function. We show that each target of the MT system can find microscopic inputs that can collectively realize the density path while guaranteeing obstacle avoidance at all times. Subsequently, we propose a Voronoi distributed motion coordination algorithm which determines the individual microscopic control inputs of each agent of the MA network so that the latter can track the MT system while avoiding collisions with obstacles and their teammates. The proposed algorithm relies on a distributed move-to-centroid control law in which the density over the Voronoi cell of each agent is determined by the estimated macroscopic state evolution of the MT system. Finally, simulation results are presented to showcase the effectiveness of our proposed approach.

Attitude consensus coordination algorithm for spacecraft formation under compound disturbance

To address the attitude coordination and consensus tracking problem in the multi-spacecraft system, a distributed attitude-coordinated strategy based on the Fixed-time theory is proposed. An observer based on second-order integral sliding mode is designed to accurately estimate the compound disturbance, which consists of external disturbance and inertia uncertainties. On the basis of the observed information, a distributed Fixed-time attitude coordination controller is proposed, which can guarantee the attitude tracking errors converge to zero in a fixed time. System stability is analyzed by using the Lyapunov function. Finally, simulations and comparison analysis demonstrate the effectiveness and superiority of the proposed control scheme.

Institutional complexity emerges from socioecological complexity in small-scale human societies.

Human lifestyles vary enormously over time and space and so understanding the origins of this diversity has always been a central focus of anthropology. A major source of this cultural variation is the variation in institutional complexity: the cultural packages of rules, norms, ontologies and expectations passed down through societies across generations. In this article, we study the emergence of institutions in small-scale societies. There are two primary schools of thought. The first is that institutions emerge top-down as rules are imposed by elites on their societies in order to gain asymmetrical access to power, resources and influence over others through coercion. The second is that institutions emerge bottom-up to facilitate interactions within populations as they seek collective solutions to adaptive problems. Here, we use Bayesian networks to infer the causal structure of institutional complexity in 172 small-scale societies across ethnohistoric western North America reflecting the wide diversity of indigenous lifestyles across this vast region immediately prior to European colonization. Our results suggest that institutional complexity emerges from underlying socioecological complexity because institutions are solutions to coordination problems in more complex environments where human-environment interactions require increased management.

Comparative Literature Analysis of National Security Management from The Global to Malaysia

The national security management structure is crucial to understand in ensuring whether the existing mechanisms are effective in dealing with national security issues and challenges. The country's approach, particularly through security agencies, should always carry out an assessment of internal and external threats from time to time, so that the integrity of the country's sovereignty remains guaranteed. The evolution of threat perception is in line with what is stated in the Malaysia Defense White Paper published in 2020 which is "the national interests in the present and future are tied to an uncertain security environment and the impact of an uncertain regional and global security environment, as well as an international strategic perspective become more complex and difficult to predict in the coming year.” Therefore, it is very important for a study to be carried out to see the comparison of national security management at the global and Malaysia so that good added value can be emulated, and the constraints faced can be used as lessons for improvement. The study uses Qualitative methods through library research which is the analysis of journals and online articles to obtain the views of past scholars on internal and external threats and security management structure, including the reformation required. The results of the analysis found that the threat that occurs in Malaysia same as the global except nuclear. Both globally and Malaysia face agency coordination problems due to national decisions and duplication of duties, state coordination issues due to the role being denied, reform failure and increased threats, weaknesses in reformation caused by political interference and there is a need for the involvement of all parties in national security management.

A Novel Application of Fractional Order Derivative Moth Flame Optimization Algorithm for Solving the Problem of Optimal Coordination of Directional Overcurrent Relays

The proper coordination of directional overcurrent relays (DOCRs) is crucial in electrical power systems. The coordination of DOCRs in a multi-loop power system is expressed as an optimization problem. The aim of this study focuses on improving the protection system’s performance by minimizing the total operating time of DOCRs via effective coordination with main and backup DOCRs while keeping the coordination constraints within allowable limits. The coordination problem of DOCRs is solved by developing a new application strategy called Fractional Order Derivative Moth Flame Optimizer (FODMFO). This approach involves incorporating the ideas of fractional calculus (FC) into the mathematical model of the conventional moth flame algorithm to improve the characteristics of the optimizer. The FODMFO approach is then tested on the coordination problem of DOCRs in standard power systems, specifically the IEEE 3, 8, and 15 bus systems as well as in 11 benchmark functions including uni- and multimodal functions. The results obtained from the proposed method, as well as its comparison with other recently developed algorithms, demonstrate that the combination of FOD and MFO improves the overall efficiency of the optimizer by utilizing the individual strengths of these tools and identifying the globally optimal solution and minimize the total operating time of DOCRs up to an optimal value. The reliability, strength, and dependability of FODMFO are supported by a thorough statistics study using the box-plot, histograms, empirical cumulative distribution function demonstrations, and the minimal fitness evolution seen in each distinct simulation. Based on these data, it is evident that FODMFO outperforms other modern nature-inspired and conventional algorithms.