International Conference on Advanced Technologies, Computer Engineering and Science

Constrained Optimization Problems Solution with Salp Swarm Algorithm and Ant Lion Optimization

Pakize Erdogmus Muhammed Gocer Ebru Dudak Nurcan Ozkan

Abstract

In this study, two recent nature-inspired optimization algorithms Salp Swarm Algorithm (SSA) and Ant Lion Optimization (ALO) were introduced and a comparison with two algorithms was realized. For these comparisons, constrained optimization test problems were solved with these algorithms. The effects of the penalty coefficients on the solution of constrained problems were also studied. Results were submitted.

Conference
International Conference on Advanced Technologies, Computer Engineering and Science
Keywords
Nature-inspired optimization Salp Swarm Algorithm Ant-Lion Optimization Constrained optimization test problem

Language
English

Subject
Computer Science