Gaining-Sharing Knowledge Based Algorithm with Adaptive Parameters Hybrid with IMODE Algorithm for Solving CEC 2021 Benchmark Problems

The initiative to introduce new benchmark problems has drawn attention to the development of new optimization algorithms. Recently, a set of constrained benchmark problems has been developed as a addition to CEC benchmark series. This paper proposed a hybrid variant of gaining sharing knowledge base...

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Vydané v:	2021 IEEE Congress on Evolutionary Computation (CEC) s. 841 - 848
Hlavní autori:	Mohamed, Ali Wagdy, Hadi, Anas A., Agrawal, Prachi, Sallam, Karam M., Mohamed, Ali Khater
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 28.06.2021
Predmet:	Benchmark testing CEC 2021 Convergence Evolutionary computation GSK algorithm Knowledge based systems LSHADE algorithm Numerical Optimization Optimization Probability Robustness
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