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...

Full description

Saved in:

Bibliographic Details
Published in:	Expert systems with applications Vol. 187; p. 115870
Main Authors:	Houssein, Essam H., Mahdy, Mohamed A., Shebl, Doaa, Manzoor, Awais, Sarkar, Ram, Mohamed, Waleed M.
Format:	Journal Article
Language:	English
Published:	New York Elsevier Ltd 01.01.2022 Elsevier BV
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!