Nature-Inspired Methods for Metaheuristics Optimization

£109.50

Nature-Inspired Methods for Metaheuristics Optimization

Algorithms and Applications in Science and Engineering

Operational research Hydrology and the hydrosphere Mechanical engineering Engineering thermodynamics Production and industrial engineering Artificial intelligence

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Collection: Modeling and Optimization in Science and Technologies

Language: English

Published by: Springer

Published on: 17th January 2020

Format: LCP-protected ePub

Size: 75 Mb

ISBN: 9783030264581


Overview

This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems.

Applications and Case Studies

The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others.

Intended Audience

The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers.

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