Abstract Coyote Optimization Algorithm (COA) has demonstrated efficient performance by
utilizing the multiple pack (subpopulation) mechanism. However, the fixed number of packs …

In this paper, a new bio-inspired meta-heuristic algorithm, named artificial rabbits
optimization (ARO), is proposed and tested comprehensively. The inspiration of the ARO …

Abstract The Inclined Planes System Optimization (IPO) algorithm is recent algorithm that
uses Newton's second law to perform optimization. After conducting a thorough literature …

This study proposes a novel hybrid metaheuristic optimization algorithm named chaotic
Runge Kutta optimization (CRUN). In this study, 10 diverse chaotic maps are being …

The aim of the Unit Commitment (UC) problem is to find the optimum scheduling of the total
generating units at lower operating costs while achieving the constraints of system and units …

Although they are among the most researched real world engineering design problems, it is
encountered with significant problems in the optimization of structural truss bar problems …

The human mind is a complex biological member with unique abilities. Today, even the most
advanced computers cannot do all the brain's calculations in one second. The mind is …

The truss optimization problem has been extensively investigated, and the optimized trusses
have been widely used in various fields. Truss optimization is a challenging optimization …

Scheduling problems (SP) in the permutation flow shop (PFS) environment are present in
many intermittent production industries, consisting of to determinate the processing order of …

Abstract The newly proposed Generalized Normal Distribution Optimization (GNDO)
algorithm is used to design the truss structures with optimal weight. All trusses optimized …