An efficient slime mould algorithm for solving multi-objective optimization problems

Recently, the Slime mould algorithm (SMA) was proposed to solve the single-objective optimization problems. It is considered as a strong algorithm for its efficient global search capability. This paper presents a multi-objective optimization algorithm based on the SMA called multi-objective SMA (MOS...

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Vydáno v:	Expert systems with applications Ročník 187; s. 115870
Hlavní autoři:	Houssein, Essam H., Mahdy, Mohamed A., Shebl, Doaa, Manzoor, Awais, Sarkar, Ram, Mohamed, Waleed M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Elsevier Ltd 01.01.2022 Elsevier BV
Témata:	Archives & records CEC’20 benchmark functions Coils Design engineering Evolutionary algorithm Evolutionary algorithms Genetic algorithms Helical springs Indicators Multi-objective optimization Multiple objective analysis Optimization algorithms Pareto optimal solutions Pareto optimization Pareto optimum Particle swarm optimization Performance evaluation Slime Slime mould algorithm Sorting algorithms Pareto optimal solutions Multi-objective optimization CEC’20 benchmark functions Evolutionary algorithm Slime mould algorithm
ISSN:	0957-4174, 1873-6793
On-line přístup:	Získat plný text
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