Description: Meta-heuristic and Evolutionary Algorithms for Engineering Optimization by Omid Bozorg-Haddad, Mohammad Solgi, Hugo A. Loáiciga Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering optimization problems This book introduces the main metaheuristic algorithms and their applications in optimization. Publisher Description A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering optimization problems This book introduces the main metaheuristic algorithms and their applications in optimization. It describes 20 leading meta-heuristic and evolutionary algorithms and presents discussions and assessments of their performance in solving optimization problems from several fields of engineering. The book features clear and concise principles and presents detailed descriptions of leading methods such as the pattern search (PS) algorithm, the genetic algorithm (GA), the simulated annealing (SA) algorithm, the Tabu search (TS) algorithm, the ant colony optimization (ACO), and the particle swarm optimization (PSO) technique. Chapter 1 of Meta-heuristic and Evolutionary Algorithms for Engineering Optimization provides an overview of optimization and defines it by presenting examples of optimization problems in different engineering domains. Chapter 2 presents an introduction to meta-heuristic and evolutionary algorithms and links them to engineering problems. Chapters 3 to 22 are each devoted to a separate algorithm— and they each start with a brief literature review of the development of the algorithm, and its applications to engineering problems. The principles, steps, and execution of the algorithms are described in detail, and a pseudo code of the algorithm is presented, which serves as a guideline for coding the algorithm to solve specific applications. This book: Introduces state-of-the-art metaheuristic algorithms and their applications to engineering optimization;Fills a gap in the current literature by compiling and explaining the various meta-heuristic and evolutionary algorithms in a clear and systematic manner;Provides a step-by-step presentation of each algorithm and guidelines for practical implementation and coding of algorithms;Discusses and assesses the performance of metaheuristic algorithms in multiple problems from many fields of engineering;Relates optimization algorithms to engineering problems employing a unifying approach. Meta-heuristic and Evolutionary Algorithms for Engineering Optimization is a reference intended for students, engineers, researchers, and instructors in the fields of industrial engineering, operations research, optimization/mathematics, engineering optimization, and computer science. OMID BOZORG-HADDAD, PhD, is Professor in the Department of Irrigation and Reclamation Engineering at the University of Tehran, Iran. MOHAMMAD SOLGI, M.Sc., is Teacher Assistant for M.Sc. courses at the University of Tehran, Iran. HUGO A. LOÁICIGA, PhD, is Professor in the Department of Geography at the University of California, Santa Barbara, United States of America. Author Biography Omid Bozorg-Haddad, PhD, is Professor in the Department of Irrigation and Reclamation Engineering at the University of Tehran, Iran. Mohammad Solgi, M.Sc., is Teacher Assistant for M.Sc. courses at the University of Tehran, Iran. Hugo A. Loáiciga, PhD, is Professor in the Department of Geography at the University of California, Santa Barbara, United States of America. Details ISBN 1119386993 ISBN-13 9781119386995 Title Meta-heuristic and Evolutionary Algorithms for Engineering Optimization Author Omid Bozorg-Haddad, Mohammad Solgi, Hugo A. Loáiciga Format Hardcover Year 2017 Pages 304 Publisher John Wiley & Sons Inc GE_Item_ID:137347357; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. 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Price: 144.6 USD
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End Time: 2024-11-29T04:03:31.000Z
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ISBN-13: 9781119386995
Book Title: Meta-heuristic and Evolutionary Algorithms for Engineering Optimi
Number of Pages: 304 Pages
Publication Name: Meta-Heuristic and Evolutionary Algorithms for Engineering Optimization
Language: English
Publisher: Wiley & Sons, Incorporated, John
Subject: Industrial Design / General, Optimization, Discrete Mathematics
Item Height: 1.2 in
Publication Year: 2017
Type: Textbook
Item Weight: 20 Oz
Item Length: 9 in
Subject Area: Mathematics, Technology & Engineering
Author: Mohammad Solgi, Hugo A. Loáiciga, Omid Bozorg-Haddad
Item Width: 6.2 in
Series: Wiley Series in Operations Research and Management Science Ser.
Format: Hardcover
