In many engineering applications (engineering design problems), since the environment
and/or situation of applications may change, it is important to detect plural acceptable …

In this paper, a multimodal function optimization problem consisting of multiple maximums
and multiple minimums is solved using an improved particle swarm optimization (PSO) …

Metaheuristic approaches with extremely important improvements are very promising in the
solution of intractable optimization problems. The objective of the present study is to test the …

Teaching–learning-based optimization (TLBO) is a recently proposed population-based
algorithm that simulates the process of teaching and learning. Compared with other …

To overcome the limitations of the Flamingo Search Algorithm (FSA), such as a tendency to
converge on local optima and improve solution accuracy, we present an improved algorithm …

This paper presents a new optimization algorithm to solve multiobjective design optimization
problems based on behavioral concepts similar to that of a real swarm. The individuals of a …

Abstract The Salp Swarm Algorithm (SSA) is an effective single-objective optimization
algorithm that was inspired by the navigating and foraging behaviors of salps in their natural …

Abstract Spider Monkey Optimization (SMO) technique is most recent member in the family
of swarm optimization algorithms. SMO algorithm fall in class of Nature Inspired Algorithm …

This book is motivated by the fact that meta-heuristic optimization techniques have become
very popular among researchers and engineers over the last two decades. The widespread …

Over the past decade, solving complex optimization problems with metaheuristic algorithms
has attracted many experts and researchers. There are exact methods and approximate …