Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and
self-organized swarms. The well known examples for these swarms are bird flocks, fish …

The partitional clustering concept started with K-means algorithm which was published in
1957. Since then many classical partitional clustering algorithms have been reported based …

Recently, many intelligent algorithms have been proposed to find the best solution for
complex engineering problems. These algorithms can search volatile and multi-dimensional …

This paper proposes a novel metaheuristic algorithm called Chimp Optimization Algorithm
(ChOA) inspired by the individual intelligence and sexual motivation of chimps in their group …

This paper proposes a new population-based optimization algorithm called hunter–prey
optimizer (HPO). This algorithm is inspired by the behavior of predator animals such as …

Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …

This paper presents a novel nature-inspired optimization paradigm, named as squirrel
search algorithm (SSA). This optimizer imitates the dynamic foraging behaviour of southern …

This paper proposes a novel nature-inspired meta-heuristic optimization algorithm, called
Whale Optimization Algorithm (WOA), which mimics the social behavior of humpback …

This paper develops a new metaheuristic optimization algorithm named K-means Optimizer
(KO) to solve a wide range of optimization problems from numerical functions to real-design …

In this paper, a novel metaheuristic algorithm called Chaos Game Optimization (CGO) is
developed for solving optimization problems. The main concept of the CGO algorithm is …