Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Nature-Inspired Methods for Metaheuristics Optimization: Algorithms and Applications in Science and Engineering

Nature-Inspired Methods for Metaheuristics Optimization: Algorithms and Applications in Science and Engineering

Bennis, Fouad
Bhattacharjya, Rajib Kumar

Hardcover

Series: Modeling and Optimization in Science and Technologies, Book 16

Business GeneralEnvironmental StudiesGeneral Computers

ISBN10: 3030264572
ISBN13: 9783030264574
Publisher: Springer Nature
Published: Jan 18 2020
Pages: 502
Weight: 1.90
Height: 0.90 Width: 6.70 Depth: 9.40
Language: English
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. 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. 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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