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...

Celý popis

Podrobná bibliografie

Vydáno v:	Swarm and evolutionary computation Ročník 67; s. 100961
Hlavní autoři:	Kumar, Abhishek, Wu, Guohua, Ali, Mostafa Z., Luo, Qizhang, Mallipeddi, Rammohan, Suganthan, Ponnuthurai Nagaratnam, Das, Swagatam
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.12.2021
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!