Composite Structures, Год журнала: 2025, Номер unknown, С. 118921 - 118921
Опубликована: Фев. 1, 2025
Язык: Английский
IEEE Access, Год журнала: 2021, Номер 9, С. 57757 - 57791
Опубликована: Янв. 1, 2021
This paper provides an extensive review of the popular multi-objective optimization algorithm NSGA-II for selected combinatorial problems viz. assignment problem, allocation travelling salesman vehicle routing scheduling and knapsack problem. It is identified that based on manner in which has been implemented solving aforementioned group problems, there can be three categories: Conventional NSGA-II, where authors have basic version without making any changes operators; second one Modified researchers after some into it finally, Hybrid variants, hybridized conventional modified with other technique. The article analyses modifications also discusses various performance assessment techniques used by researchers, i.e., test instances, metrics, statistical tests, case studies, benchmarking state-of-the-art algorithms. Additionally, a brief bibliometric analysis work done this study.
Язык: Английский
Процитировано
490
Archives of Computational Methods in Engineering, Год журнала: 2021, Номер 29(4), С. 2285 - 2308
Опубликована: Окт. 21, 2021
Язык: Английский
Процитировано
146
European Journal of Operational Research, Год журнала: 2022, Номер 309(1), С. 1 - 23
Опубликована: Авг. 11, 2022
In industry, production is often organized in the form of a hybrid flow shop, and there great interest methods algorithms for optimizing such processes. While, thus far, have focused mostly on single selected objective, it increasingly important to address several objectives simultaneously order move from extreme balanced solutions that consider diverse operational requirements. Following this, we classify characterize literature dealing with multi-objective shop scheduling problems (HFSP). We identify those features metaheuristics require particular attention during process finding Pareto HFSP (especially coding decoding schemes, archives, dominance concepts). To promote evaluation suitability solving multi-criteria HFSP, provide an overview test instances used propose systematization performance criteria fronts create clear consistent conceptual semantic understanding. Based recommendations are derived can also be helpful various optimization other application contexts assessing solution quality as accurately comparably possible. Finally, current challenges possible future research directions highlighted.
Язык: Английский
Процитировано
77
Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(3), С. 662 - 673
Опубликована: Март 10, 2024
This review delves into the significance of Agile Project Management (APM) in fostering innovation within realm energy-efficient Heating, Ventilation, and Air Conditioning (HVAC) solutions. As global focus intensifies on sustainability energy conservation, HVAC industry stands at forefront addressing environmental challenges through innovative technologies. methodologies, originally developed for software development, have transcended their conventional domains to revolutionize project management across various industries. explores how application principles can catalyze Firstly, it delineates core tenets Management, emphasizing iterative adaptive planning, customer collaboration. By prioritizing flexibility responsiveness change, methodologies empower teams swiftly adapt evolving needs technological advancements. agility is particularly crucial sector, where rapid innovations necessitate quick iterations constant feedback loops refine Furthermore, elucidates frameworks such as Scrum Kanban facilitate cross-functional collaboration enhance communication teams. a collaborative environment that encourages transparency knowledge sharing, cultivate culture wherein team members experiment with novel ideas pivot based market feedback. Moreover, this underscores role mitigating risks associated Through frequent incremental delivery, enable identify potential bottlenecks address them proactively, thereby reducing enhancing overall success rates. highlights transformative driving industry. embracing navigate complexities more effectively, accelerate time-to-market solutions, ultimately contribute sustainable transformation sector. Keywords: Agile, Innovation, Energy-Efficient, HVAC, Review.
Язык: Английский
Процитировано
25
Automation in Construction, Год журнала: 2021, Номер 130, С. 103840 - 103840
Опубликована: Июль 29, 2021
Язык: Английский
Процитировано
100
Swarm and Evolutionary Computation, Год журнала: 2021, Номер 62, С. 100858 - 100858
Опубликована: Фев. 10, 2021
Язык: Английский
Процитировано
89
Applied Sciences, Год журнала: 2021, Номер 11(14), С. 6449 - 6449
Опубликована: Июль 13, 2021
In the past few decades, metaheuristics have demonstrated their suitability in addressing complex problems over different domains. This success drives scientific community towards definition of new and better-performing heuristics results an increased interest this research field. Nevertheless, studies been focused on developing algorithms without providing consolidation existing knowledge. Furthermore, absence rigor formalism to classify, design, develop combinatorial optimization represents a challenge field’s progress. study discusses main concepts challenges area proposes code metaheuristics. We believe these contributions may support progress field increase maturity as problem solvers analogous other machine learning algorithms.
Язык: Английский
Процитировано
82
Annals of Operations Research, Год журнала: 2021, Номер 320(2), С. 831 - 861
Опубликована: Июнь 8, 2021
Язык: Английский
Процитировано
60
Applied Sciences, Год журнала: 2023, Номер 13(7), С. 4643 - 4643
Опубликована: Апрель 6, 2023
The multi-objective optimization problem is difficult to solve with conventional methods and algorithms because there are conflicts among several objectives functions. Through the efforts of researchers experts from different fields for last 30 years, research application evolutionary (MOEA) have made excellent progress in solving such problems. MOEA has become one primary used technologies realm optimization. It also a hotspot computation community. This survey provides comprehensive investigation that emerged recent decades summarizes classifies classical MOEAs by mechanism viewpoint search strategy. paper divides them into three categories considering strategy MOEA, i.e., decomposition-based algorithms, dominant relation-based evaluation index-based algorithms. selects relevant representative detailed summary analysis. As prospective direction, we propose combine chaotic evolution algorithm these strategies improving capability new been discussed, which further proposes future direction MOEA. lays foundation development works future.
Язык: Английский
Процитировано
38
Electronics, Год журнала: 2023, Номер 12(4), С. 1062 - 1062
Опубликована: Фев. 20, 2023
Optimization methods for a hybrid microgrid system that integrated renewable energy sources (RES) and supplies reliable power to remote areas, were considered in order overcome the intermittent nature of RESs. The AC/DC was constructed with solar photovoltaic system, wind turbine, battery storage, converter, diesel generator. There is steady increase utilization microgrids; consequently, it necessary solve optimization techniques. Therefore, present study proposed utilizing multi-objective using evolutionary algorithms. In this context, few papers reviewed regarding determine capacity optimal design Here, consisted minimum cost energy, net cost, low operating carbon emissions high fraction. These determined by (MOO) sizing based on grey wolf optimizer (MOGWO) particle swarm (MOPSO). Similarly, different algorithms (MOGA, MOGOA etc.) reduces increases reliability islanded systems.
Язык: Английский
Процитировано
34