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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Swarm and evolutionary computation Jg. 67; S. 100961
Hauptverfasser:	Kumar, Abhishek, Wu, Guohua, Ali, Mostafa Z., Luo, Qizhang, Mallipeddi, Rammohan, Suganthan, Ponnuthurai Nagaratnam, Das, Swagatam
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2021
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!