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 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 paper introduces a novel swarm-based metaheuristic called swarm magnetic optimizer
(SMO). SMO imitates the behaviour of two magnets close to each other: pushing toward or …

There has been a massive development of metaheuristic algorithms in the latest decade
where swarm intelligence becomes the fundamental approach. Meanwhile, there is still no …

This paper presents an artificial rabbits optimization (ARO) based optimization methodology
for the optimal location and rating of solar photovoltaic systems (SPVs) and passive power …

In recent decades, the groundwater quality monitoring application gained more attention
among the researcher community to assess the groundwater quality. The water quality index …

Metaheuristic algorithms are one of the most widely used stochastic approaches in solving
optimization problems. In this paper, a new metaheuristic algorithm entitled Billiards …

Migration algorithm (MA) and walrus optimization algorithm (WaOA) are two new swarm-
based metaheuristics which are first introduced in 2023. As new metaheuristics, the …

Currently global warming is increasing significantly around the world and become one of the
typical issues for sustainability. In this connection, many sectors are transforming towards …