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{ "item_title" : "Nature-Inspired Methods for Metaheuristics Optimization", "item_author" : [" Fouad Bennis", "Rajib Kumar Bhattacharjya "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/026/457/3030264572_b.jpg", "price_data" : { "retail_price" : "139.99", "online_price" : "139.99", "our_price" : "139.99", "club_price" : "139.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Nature-Inspired Methods for Metaheuristics Optimization|Fouad Bennis

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

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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. 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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Details

  • ISBN-13: 9783030264574
  • ISBN-10: 3030264572
  • Publisher: Springer
  • Publish Date: January 2020
  • Dimensions: 9.4 x 6.7 x 0.9 inches
  • Shipping Weight: 1.9 pounds
  • Page Count: 502

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