Metaheuristic algorithms have applicability in various fields where it is necessary to solve
optimization problems. It has been a common practice in this field for several years to …

Continuous ant colony optimization was a population-based heuristic search algorithm
inspired by the pathfinding behavior of ant colonies with a simple structure and few control …

Firefly algorithm (FA) is a powerful and efficient meta-heuristic algorithm which has shown
effective performance in the recent literature when applied to solving engineering …

The hunger games search (HGS) algorithm is a recently proposed population-based
optimization algorithm that mimics a common phenomenon of animals searching for food …

The whale optimizer is a popular metaheuristic algorithm, which has the problems of weak
global exploration, easy falling into local optimum, and low optimization accuracy when …

As science and technology advance, more engineering-type problems emerge. Technology
development has likewise led to an increase in the complexity of optimization problems, and …

Dynamic differential annealed optimization (DDAO) is a recently developed physics-based
metaheuristic technique that mimics the classical simulated annealing mechanism …

Harris hawks optimization has been a popular swarm intelligence algorithm in recent years.
In order to improve the local exploitation ability of the algorithm and improve the problem of …

The sine cosine algorithm (SCA) is a metaheuristic algorithm proposed in recent years that
does not resort to nature-related metaphors but explores and exploits the search space with …

The speedy development of intelligent technologies and gadgets has led to a drastic
increment of dimensions within the datasets in recent years. Dimension reduction …