A systematic review of the whale optimization algorithm: theoretical foundation, improvements, and hybridizations
Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …
Particle swarm optimization for single objective continuous space problems: a review
Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review Page 1
Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review …
Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review …
A novel hybrid arithmetic optimization algorithm for solving constrained optimization problems
The present study aims to optimize the engineering design and manufacturing problems
with a novel hybrid optimizer named: AOA-NM (Arithmetic optimization-Nelder mead). To …
with a novel hybrid optimizer named: AOA-NM (Arithmetic optimization-Nelder mead). To …
Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies
The first powerful variant of the Harris hawks optimization (HHO) is proposed in this work.
HHO is a recently developed swarm-based stochastic algorithm that has previously shown …
HHO is a recently developed swarm-based stochastic algorithm that has previously shown …
Chaotic local search-based differential evolution algorithms for optimization
JADE is a differential evolution (DE) algorithm and has been shown to be very competitive in
comparison with other evolutionary optimization algorithms. However, it suffers from the …
comparison with other evolutionary optimization algorithms. However, it suffers from the …
Chaos game optimization: a novel metaheuristic algorithm
In this paper, a novel metaheuristic algorithm called Chaos Game Optimization (CGO) is
developed for solving optimization problems. The main concept of the CGO algorithm is …
developed for solving optimization problems. The main concept of the CGO algorithm is …
A novel hybrid of meta-optimization approach for flash flood-susceptibility assessment in a monsoon-dominated watershed, Eastern India
The exponential growth in the number of flash flood events is a global threat, and detecting a
flood-prone area has also become a top priority. The flash flood-susceptibility map** can …
flood-prone area has also become a top priority. The flash flood-susceptibility map** can …
[HTML][HTML] A balanced whale optimization algorithm for constrained engineering design problems
In this study, two novel effective strategies composed of Lévy flight and chaotic local search
are synchronously introduced into the whale optimization algorithm (WOA) to guide the …
are synchronously introduced into the whale optimization algorithm (WOA) to guide the …
MPSO: Modified particle swarm optimization and its applications
D Tian, Z Shi - Swarm and evolutionary computation, 2018 - Elsevier
Particle swarm optimization (PSO) is a population based meta-heuristic search algorithm
that has been widely applied to a variety of problems since its advent. In PSO, the inertial …
that has been widely applied to a variety of problems since its advent. In PSO, the inertial …
Firefly algorithm with chaos
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 …
social behavior of fireflies based on the flashing and attraction characteristics of fireflies. In …