The book presents eight well-known and often used algorithms besides nine newly developed algorithms by the first author and his students in a practical impleme

Metaheuristic optimization has become a prime alternative for solving complex optimization problems in several areas. Hence, practitioners and researchers have

The main purpose of the present book is to develop a general framework for population-based metaheuristics based on some basic concepts of set theory. The idea

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the author and his graduate st

This book presents the so-called Shuffled Shepherd Optimization Algorithm (SSOA), a recently developed meta-heuristic algorithm by authors. There is always limi