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{ "item_title" : "Multi-Objective Optimization Using Artificial Intelligence Techniques", "item_author" : [" Seyedali Mirjalili", "Jin Song Dong "], "item_description" : "This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/03/024/834/3030248348_b.jpg", "price_data" : { "retail_price" : "69.99", "online_price" : "69.99", "our_price" : "69.99", "club_price" : "69.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Multi-Objective Optimization Using Artificial Intelligence Techniques|Seyedali Mirjalili

Multi-Objective Optimization Using Artificial Intelligence Techniques

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Overview

This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage.

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Details

  • ISBN-13: 9783030248345
  • ISBN-10: 3030248348
  • Publisher: Springer
  • Publish Date: August 2019
  • Dimensions: 9.21 x 6.14 x 0.15 inches
  • Shipping Weight: 0.25 pounds
  • Page Count: 58

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