Read, highlight, and take notes, across web, tablet, and phone. Would you like to see more reviews about this item? This text provides an excellent introduction to the use of evolutionary algorithms in multi-objective optimization, allowing use as a graduate course text or for self-study. Please try again later. Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real-world search and optimization problems. Comprehensive coverage of this growing area of research Carefully introduces each algorithm with examples and in-depth discussion Includes many applications to real-world problems, including engineering design and scheduling Includes discussion of advanced topics and future research Can be used as a course text or for self-study Accessible to those with limited knowledge of classical multi-objective optimization and evolutionary algorithms The integrated presentation of theory, algorithms and examples will benefit those working and researching in the areas of optimization, optimal design and evolutionary computing. Account Options Sign in.
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Multi-Objective Optimization using Evolutionary Algorithms
Many of these problems optimizatioj multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. Write a product review. Customers who bought this item also bought.
This text provides an excellent introduction to algorihms use of evolutionary algorithms in multi-objective optimization, allowing use as a graduate course text or for self-study. There was a problem filtering reviews right now.
Multi-objective optimization using evolutionary algorithms Kalyanmoy Deb Snippet view - It has been found that using evolutionary algorithms opttimization a highly effective way of finding multiple effective solutions in a single simulation run.
Optimization for Engineering Design: Fuzzy Logic with Engineering Applications, 3ed. Carefully introduces each algorithm with examples and in-depth discussion.
Evoputionary the selected items together This item: Would you like to tell us about a lower price? Multi-Objective Optimization using Evolutionary Algorithms. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions.
Accessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms Provides an extensive discussion on the principles of multi-objective optimization and on a number of classical approaches.
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Multi-Objective Optimization Using Evolutionary Algorithms - Kalyanmoy Deb - Google Books
Includes many applications to real-world problems, including engineering design and scheduling. Natural Computing with Optkmization Includes discussion of advanced topics and future research.
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Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. Multi-objective optimization using evolutionary algorithms Kalyanmoy Deb Snippet view - Added to Your Shopping Cart. All the concepts are well explained. Share your thoughts with other customers. This text provides an excellent introduction to the use of evolutionary algorithms in multi-objective optimization, allowing use as a graduate course text or for self-study.
Multi-Objective Optimization using Evolutionary Algorithms - Kalyanmoy Deb - Google Books
Fundamentals of Neural Networks: Evolutionary algorithms are very powerful techniques used to find solutions to real-world search and optimization problems. Must have book for those working in the area of Evolutionary Computation. Multicriteria Optimization Matthias Ehrgott No preview available - Objectige your mobile number or email address below and we'll send you a link to download the free Kindle App.
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Best book for AI. This is a dummy description. As a survey, this book is exemplary and forms an essential resource for EMO researchers at the present time.
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