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Evolutionary Search and the Job Shop

2013-04-17 Business & Economics
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Release : 2013-04-17
Genre : Business & Economics
Kind : eBook
Book Rating : 126/5 ( reviews)

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Book Synopsis Evolutionary Search and the Job Shop by : Dirk C. Mattfeld

Download or read book Evolutionary Search and the Job Shop written by Dirk C. Mattfeld. This book was released on 2013-04-17. Available in PDF, EPUB and Kindle. Book excerpt: Production scheduling dictates highly constrained mathematical models with complex and often contradicting objectives. Evolutionary algorithms can be formulated almost independently of the detailed shaping of the problems under consideration. As one would expect, a weak formulation of the problem in the algorithm comes along with a quite inefficient search. This book discusses the suitability of genetic algorithms for production scheduling and presents an approach which produces results comparable with those of more tailored optimization techniques.

Evolutionary Search and the Job Shop

2014-01-15
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Release : 2014-01-15
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Kind : eBook
Book Rating : 132/5 ( reviews)

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Book Synopsis Evolutionary Search and the Job Shop by : Dirk C. Mattfeld

Download or read book Evolutionary Search and the Job Shop written by Dirk C. Mattfeld. This book was released on 2014-01-15. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent and Evolutionary Systems

2009-03-12 Computers
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Release : 2009-03-12
Genre : Computers
Kind : eBook
Book Rating : 777/5 ( reviews)

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Book Synopsis Intelligent and Evolutionary Systems by : Mitsuo Gen

Download or read book Intelligent and Evolutionary Systems written by Mitsuo Gen. This book was released on 2009-03-12. Available in PDF, EPUB and Kindle. Book excerpt: This book offers fourteen select papers presented at the recent Asia-Pacific Symposia on Intelligent and Evolutionary Systems. They illustrate the breadth of research in the field with applications ranging from business to medicine to network optimization.

Evolutionary Computation in Combinatorial Optimization

2005-03-21 Computers
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Release : 2005-03-21
Genre : Computers
Kind : eBook
Book Rating : 378/5 ( reviews)

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Book Synopsis Evolutionary Computation in Combinatorial Optimization by : Jens Gottlieb

Download or read book Evolutionary Computation in Combinatorial Optimization written by Jens Gottlieb. This book was released on 2005-03-21. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2005, held in Lausanne, Switzerland in March/April 2005. The 24 revised full papers presented were carefully reviewed and selected from 66 submissions. The papers cover evolutionary algorithms as well as related approaches like scatter search, simulated annealing, ant colony optimization, immune algorithms, variable neighborhood search, hyperheuristics, and estimation of distribution algorithms. The papers deal with representations, analysis of operators and fitness landscapes, and comparison algorithms. Among the combinatorial optimization problems studied are graph coloring, quadratic assignment, knapsack, graph matching, packing, scheduling, timetabling, lot-sizing, and the traveling salesman problem.

Evolutionary Optimization Algorithms

2013-06-13 Mathematics
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Release : 2013-06-13
Genre : Mathematics
Kind : eBook
Book Rating : 503/5 ( reviews)

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Book Synopsis Evolutionary Optimization Algorithms by : Dan Simon

Download or read book Evolutionary Optimization Algorithms written by Dan Simon. This book was released on 2013-06-13. Available in PDF, EPUB and Kindle. Book excerpt: A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant colonies. This book discusses the theory, history, mathematics, and programming of evolutionary optimization algorithms. Featured algorithms include genetic algorithms, genetic programming, ant colony optimization, particle swarm optimization, differential evolution, biogeography-based optimization, and many others. Evolutionary Optimization Algorithms: Provides a straightforward, bottom-up approach that assists the reader in obtaining a clear but theoretically rigorous understanding of evolutionary algorithms, with an emphasis on implementation Gives a careful treatment of recently developed EAs including opposition-based learning, artificial fish swarms, bacterial foraging, and many others and discusses their similarities and differences from more well-established EAs Includes chapter-end problems plus a solutions manual available online for instructors Offers simple examples that provide the reader with an intuitive understanding of the theory Features source code for the examples available on the author's website Provides advanced mathematical techniques for analyzing EAs, including Markov modeling and dynamic system modeling Evolutionary Optimization Algorithms: Biologically Inspired and Population-Based Approaches to Computer Intelligence is an ideal text for advanced undergraduate students, graduate students, and professionals involved in engineering and computer science.

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