The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends
This book contains research contributions from leading global scholars in nature-inspired computing. It includes comprehensive coverage of each respective topic, while also highlighting recent and fut
This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the
Computer scientists describe computing techniques that have been inspired by natural physics, chemistry, biology, and collective intelligence. Their topics include applying an electromagnetism-like
The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacter
The book presents recent advances in nature-inspired computing, giving a special emphasis to control systems applications. It reviews different techniques used for simulating physical, chemical, biolo
"Advances in Bio-inspired Combinatorial Optimization Problems" illustrates several recent bio-inspired efficient algorithms for solving NP-hard problems.Theoretical bio-inspired concepts and models, i
"This book covers all the main areas of natural computing, from methods to computationally synthesized natural phenomena, to computing paradigms based on natural materials, offering ideas and research
The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-insp
This book provides a comprehensive introduction to nature-inspired computing, with an emphasis on applications to real-life engineering problems. The book focuses on physics and chemistry-based algori
