Crow search algorithm: theory, recent advances, and applications
In this article, a comprehensive overview of the Crow Search Algorithm (CSA) is introduced
with detailed discussions, which is intended to keep researchers interested in swarm …
with detailed discussions, which is intended to keep researchers interested in swarm …
[HTML][HTML] A comprehensive survey of sine cosine algorithm: variants and applications
AB Gabis, Y Meraihi, S Mirjalili… - Artificial Intelligence …, 2021 - Springer
Abstract Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …
RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method
The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers.
Most of these cliché methods mimic animals' searching trends and possess a small …
Most of these cliché methods mimic animals' searching trends and possess a small …
Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts
Y Yang, H Chen, AA Heidari, AH Gandomi - Expert Systems with …, 2021 - Elsevier
A recent set of overused population-based methods have been published in recent years.
Despite their popularity, most of them have uncertain, immature performance, partially done …
Despite their popularity, most of them have uncertain, immature performance, partially done …
Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy
Although the continuous version of ant colony optimizer (ACOR) has been successfully
applied to various problems, there is room to boost its stability and improve convergence …
applied to various problems, there is room to boost its stability and improve convergence …
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 …
Boosted binary Harris hawks optimizer and feature selection
Y Zhang, R Liu, X Wang, H Chen, C Li - Engineering with Computers, 2021 - Springer
Feature selection is a required preprocess stage in most of the data mining tasks. This paper
presents an improved Harris hawks optimization (HHO) to find high-quality solutions for …
presents an improved Harris hawks optimization (HHO) to find high-quality solutions for …
Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance
J Tu, H Chen, J Liu, AA Heidari, X Zhang… - Knowledge-Based …, 2021 - Elsevier
Abstract Whale Optimization Algorithm (WOA) is a popular swarm-based algorithm with
some spotted defects in its generated patterns during the searching phases. In this study, an …
some spotted defects in its generated patterns during the searching phases. In this study, an …
Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation
The ant colony optimization (ACO) is the most exceptionally fundamental swarm-based
solver for realizing discrete problems. In order to make it also suitable for solving continuous …
solver for realizing discrete problems. In order to make it also suitable for solving continuous …
[HTML][HTML] Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms
Metaheuristics are popularly used in various fields, and they have attracted much attention
in the scientific and industrial communities. In recent years, the number of new metaheuristic …
in the scientific and industrial communities. In recent years, the number of new metaheuristic …