{"product_id":"nature-inspired-methods-for-metaheuristics-optimization-algorithms-and-applications-in-science-and-engineering-9783030264574","title":"Nature-Inspired Methods for Metaheuristics Optimization: Algorithms and Applications in Science and Engineering","description":"\u003cp\u003e • Author(s): Fouad Bennis\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Operations Research\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45275963031703,"sku":"9783030264574","price":9548.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783030264574.webp?v=1769284356","url":"https:\/\/atlanticbooks.com\/products\/nature-inspired-methods-for-metaheuristics-optimization-algorithms-and-applications-in-science-and-engineering-9783030264574","provider":"Atlantic Books","version":"1.0","type":"link"}