This study presents a novel physics-based metaheuristic algorithm called Kepler
optimization algorithm (KOA), inspired by Kepler's laws of planetary motion to predict the …

This study tenders a new nature-inspired metaheuristic algorithm (MA) based on the
behavior of the Genghis Khan shark (GKS), called GKS optimizer (GKSO), which is used for …

In science and engineering, many optimization tasks are difficult to solve, and the core
concern these days is to apply metaheuristic (MH) algorithms to solve them. Metaheuristics …

An original swarm-based, bio-inspired metaheuristic algorithm, named electric eel foraging
optimization (EEFO) is developed and tested in this work. EEFO draws inspiration from the …

An original math-inspired meta-heuristic algorithm, named quadratic interpolation
optimization (QIO), is proposed to address numerical optimization and engineering issues …

This study presents a new nature-inspired optimization algorithm, namely the Mantis Search
Algorithm (MSA), inspired by the unique hunting behavior and sexual cannibalism of praying …

Optimization is a method which is used in every field, such as engineering, space, finance,
fashion market, mass communication, travelling, and also in our daily activities. In every …

In this paper, a novel evolutionary optimization algorithm, named Partial Reinforcement
Optimizer (PRO), is introduced. The major idea behind the PRO comes from a psychological …

In this paper, a novel nature-inspired meta-heuristic known as Crested Porcupine Optimizer
(CPO) and inspired by various defensive behaviors of crested porcupine (CP) is proposed …

Abstract Prairie Dog Optimization is a population-based optimization method that uses the
behavior of prairie dogs to find the optimal solution. This paper proposes a novel …