Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms is a comprehensive work that provides an overview of optimization algorithms based on nature, including swarm intelligence techniques. The book describes fifteen important optimization algorithms and includes pseudocode, flowcharts, and examples to enhance understanding. It is a valuable resource for engineers, researchers, faculty, and students seeking optimum solutions to various problems, covering computer science, economics, and diverse areas. The algorithms are efficient and unconventional, making them more effective than traditional counterparts.

Format: Paperback / softback
Length: 260 pages
Publication date: 01 February 2022
Publisher: Taylor & Francis Ltd

Nature has a rich abundance of flora and fauna that inspired the development of optimization techniques, providing us with simple solutions to complex problems in an effective and adaptive manner. The study of the intelligent survival strategies of animals, birds, and insects in a hostile and ever-changing environment has led to the development of techniques emulating their behavior.

This book is a lucid description of fifteen important existing optimization algorithms based on swarm intelligence and superior in performance. It is a valuable resource for engineers, researchers, faculty, and students who are devising optimum solutions to any type of problem ranging from computer science to economics and covering diverse areas that require maximizing output and minimizing resources. This is the crux of all optimization algorithms.

Features:

Detailed description of the algorithms along with pseudocode and flowchart

Easy translation to program code that is also readily available in the Mathworks website for some of the algorithms

Simple examples demonstrating the optimization strategies are provided to enhance understanding

Standard applications and benchmark datasets for testing and validating the algorithms are included

This book is a reference for undergraduate and post-graduate students. It will be useful to faculty members teaching optimization. It is also a comprehensive guide for researchers who are looking for optimizing resources in attaining the best solution to a problem.

Weight: 524g
Dimension: 178 x 254 x 24 (mm)
ISBN-13: 9780367503291