A New Arithmetic Optimization Algorithm for Solving Real-World Multiobjective CEC-2021 Constrained Optimization Problems: Diversity Analysis and Validations

In this paper, a new Multi-Objective Arithmetic Optimization Algorithm (MOAOA) is proposed for solving Real-World constrained Multi-objective Optimization Problems (RWMOPs). Such problems can be found in different fields, including mechanical engineering, chemical engineering, process and synthesis,...

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Vydáno v:	IEEE access Ročník 9; s. 84263 - 84295
Hlavní autoři:	Premkumar, Manoharan, Jangir, Pradeep, Kumar, Balan Santhosh, Sowmya, Ravichandran, Alhelou, Hassan Haes, Abualigah, Laith, Yildiz, Ali Riza, Mirjalili, Seyedali
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Arithmetic Arithmetic optimization algorithm (AOA) CEC-2021 real-world problems Chemical engineering Chemical synthesis constrained optimization Convergence Feasibility studies Genetic algorithms Mechanical engineering multi-objective arithmetic optimization algorithm (MOAOA) Multiple objective analysis Operators (mathematics) Optimization Optimization algorithms Pareto optimization Performance evaluation Rank tests Sorting Sorting algorithms Task analysis
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
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