Today, intelligent optimization has become a science that few researchers have not used in
dealing with problems in their field. Diversity and flexibility have made the use, efficiency …

In the literature, different types of inclined planes system optimization (IPO) algorithms have
been proposed and evaluated in various applications. Due to the large number of variants …

Optimization plays a key role in various disciplines of science in order to achieve the optimal
solution among all available solutions. Innovation and contribution of this paper is in …

This paper introduces a new metaphor-free metaheuristic called attack-leave optimizer
(ALO). As the name suggests, ALO deploys two strategies to find the optimal solution. The …

A new metaheuristic can be developed by constructing from scratch, modifying the existing
metaheuristics, or hybridizing some metaheuristics. This work presents a new metaheuristic …

Metaheuristic algorithms are widely used in solving optimization problems. In this paper, a
new metaheuristic algorithm called Skill Optimization Algorithm (SOA) is proposed to solve …

This paper presented a new metaheuristic technique, namely the guided pelican algorithm
(GPA). GPA has the improvements for a shortcoming algorithm, namely the pelican …

Finding a suitable solution to an optimization problem designed in science is a major
challenge. Therefore, these must be addressed utilizing proper approaches. Based on a …

This research introduced a novel simple metaheuristic called as total interaction algorithm
(TIA). TIA is a swarm intelligence which relies on the interaction among solutions in the …

This work offers a new stochastic optimization ie, a metaheuristic algorithm combining both
directionbased search and neighbourhood search called as walk-spread algorithm (WSA) …