A recently developed metaheuristic optimization algorithm, firefly algorithm (FA), mimics the
social behavior of fireflies based on the flashing and attraction characteristics of fireflies. In …

In this paper, an improved version of the Grey Wolf Optimizer (GWO) is proposed to improve
the exploration and the exploitation ability of the GWO algorithm. This improvement is …

A novel chaotic improved imperialist competitive algorithm (CICA) is presented for global
optimization. The ICA is a new meta-heuristic optimization developed based on a socio …

Abstract Arithmetic Optimization Algorithm (AOA) is a meta-heuristic algorithm. Its main idea
is to use the distribution behavior of the four main mathematical operators of addition (A) …

A new combination of swarm intelligence and chaos theory is presented for optimal design
of truss structures. Here the tendency to form swarms appearing in many different organisms …

Bat swarm optimisation (BSO) is a novel heuristic optimisation algorithm that is being used
for solving different global optimisation problems. The paramount problem in BSO is that it …

This paper proposes a modified version of a contemporary metaheuristic named Harris
Hawks Optimizer (HHO) that mimics the foraging strategies used by Harris hawks. It is first …

This work proposes a new optimization method called root tree optimization algorithm
(RTO). The robustness and efficiency of the proposed RTO algorithm is validated on a 23 …

This article presents a comprehensive review of chaos embedded meta-heuristic
optimization algorithms and describes the evolution of this algorithms along with some …

Chaos optimization algorithms (COAs) usually utilize the chaotic map like Logistic map to
generate the pseudo-random numbers mapped as the design variables for global …