In the last few years, the formulation of real-world optimization problems and their efficient
solution via metaheuristic algorithms has been a catalyst for a myriad of research studies. In …

Flower pollination algorithm (FPA) is a computational intelligence metaheuristic that takes its
metaphor from flowers proliferation role in plants. This paper provides a comprehensive …

In this paper, a new metaheuristic algorithm called the Coati Optimization Algorithm (COA) is
introduced, which mimics coati behavior in nature. The fundamental idea of COA is the …

This paper presents a novel meta-heuristic algorithm so-called White Shark Optimizer
(WSO) to solve optimization problems over a continuous search space. The core ideas and …

Metaheuristics play a critical role in solving optimization problems, and most of them have
been inspired by the collective intelligence of natural organisms in nature. This paper …

This paper introduces a new metaheuristic algorithm named the Osprey Optimization
Algorithm (OOA), which imitates the behavior of osprey in nature. The fundamental …

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 …

This paper proposes a new meta-heuristic algorithm inspired by horses' herding behavior for
high-dimensional optimization problems. This method, called the Horse herd Optimization …

In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …

This paper proposes a novel nature-inspired algorithm called Gaining Sharing Knowledge
based Algorithm (GSK) for solving optimization problems over continuous space. The GSK …