A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results

Generally, Synthetic Benchmark Problems (SBPs) are utilized to assess the performance of metaheuristics. However, these SBPs may include various unrealistic properties. As a consequence, performance assessment may lead to underestimation or overestimation. To address this issue, few benchmark suites...

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Vydané v:	Swarm and evolutionary computation Ročník 67; s. 100961
Hlavní autori:	Kumar, Abhishek, Wu, Guohua, Ali, Mostafa Z., Luo, Qizhang, Mallipeddi, Rammohan, Suganthan, Ponnuthurai Nagaratnam, Das, Swagatam
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2021
Predmet:	Benchmark-Suite Metaheuristics Multi-Objective constrained optimization Performance assessment Ranking scheme Real-World problems Real-World problems Multi-Objective constrained optimization Benchmark-Suite Ranking scheme Metaheuristics Performance assessment
ISSN:	2210-6502
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