Metaheuristic algorithms are employed to solve complex and large‐scale optimization
problems in many different fields, from transportation and smart cities to finance. This paper …

Over the past few decades, metaheuristics methods have been applied to a large variety of
bioinformatic applications. There is a growing interest in applying metaheuristics methods in …

Present chapter embodies an introductory overview of optimization and metaheuristic
algorithms. An optimization problem consists of maximizing or minimizing a real function by …

Applications of optimization is countless. Every process has a potential to be optimized.
There is no company which is not involved in solving optimization problems. Indeed, many …

Many decision and optimization problems arising in bioinformatics field are time demanding,
and several algorithms are designed to solve these problems or to improve their current best …

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 …

Metaheuristic algorithms are present in various applications for different domains. Recently,
researchers have conducted studies on the effectiveness of these algorithms in providing …

Currently, researchers, engineers, and practitioners have faced problems of increasing
complexity in several specialized areas. Some examples include mechanical design, image …

This book aims to give the reader some of the most recent research dealing with the
development of metaheuristics. The document gathers 28 chapters. These chapters could …

Problems requiring combinatorial optimisation are routinely encountered in research and
applied computing. Though polynomial-time algorithms are known for certain problems …