The search for powerful optimizers has led to the development of a multitude of
metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom …

Abstract The Firefly Algorithm (FA) is a highly efficient population-based optimization
technique developed by mimicking the flashing behavior of fireflies when mating. This article …

Over the past years, many efforts have been accomplished to achieve fast and accurate
meta-heuristic algorithms to optimize a variety of real-world problems. This study presents a …

This paper presents a nature-inspired metaheuristic called Marine Predators Algorithm
(MPA) and its application in engineering. The main inspiration of MPA is the widespread …

This paper presents a novel, optimization algorithm called Equilibrium Optimizer (EO),
inspired by control volume mass balance models used to estimate both dynamic and …

A novel bio-inspired algorithm called Orca Predation Algorithm (OPA) is proposed in this
paper. OPA simulates the hunting behavior of orcas and abstracts it into several …

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 …

This paper presents the interior search algorithm (ISA) as a novel method for solving
optimization tasks. The proposed ISA is inspired by interior design and decoration. The …

In this study, we use a new metaheuristic optimization algorithm, called bat algorithm (BA), to
solve constraint optimization tasks. BA is verified using several classical benchmark …

Optimization can be defined as an effort of generating solutions to a problem under bounded
circumstances. Optimization methods have arisen from a desire to utilize existing resources …