OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Prob

Description: OmeGA by Dimitri Knjazew OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems addresses two increasingly important areas in GA implementation and practice. Permutation and scheduling problems are difficult combinatorial optimization problems with commercial import across a variety of industries. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems addresses two increasingly important areas in GA implementation and practice. OmeGA, or the ordering messy genetic algorithm, combines some of the latest in competent GA technology to solve scheduling and other permutation problems. Competent GAs are those designed for principled solutions of hard problems, quickly, reliably, and accurately. Permutation and scheduling problems are difficult combinatorial optimization problems with commercial import across a variety of industries. This book approaches both subjects systematically and clearly. The first part of the book presents the clearest description of messy GAs written to date along with an innovative adaptation of the method to ordering problems. The second part of the book investigates the algorithm on boundedly difficult test functions, showing principled scale up as problems become harder and longer. Finally, the book applies the algorithm to a test function drawn from the literature of scheduling. Table of Contents 1. Development of the Omega.- 1.1 The Mechanics of the Fast Messy GA.- 1.2 Using Random Keys for Representation.- 1.3 Designing the OmeGA.- 1.4 Ordering Deceptive Problems.- 1.5 Problem Codings.- 1.6 Experiments.- 1.7 Summary.- 2. Performance Analysis of the Omega.- 2.1 Scale-up Analysis.- 2.2 New Ordering Deceptive Problems.- 2.3 Tests with Uniform and Nonuniform Scaling.- 2.4 Test with Nonuniform Building-Block Size.- 2.5 Tests with Overlapping Building Blocks.- 2.6 Summary.- 3. Application to a Scheduling Problem.- 3.1 Introduction to Scheduling Problems.- 3.2 Problem Formulation.- 3.3 Schedule Representation and Decoding.- 3.4 Experiments.- 3.5 Summary.- 4. Conclusions and Future Work.- Appendices.- Appendix A: The Benchmark Input Data.- Appendix B: Best Schedules.- Appendix C: Source Code of OmeGA.- References. Promotional Springer Book Archives Long Description OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems addresses two increasingly important areas in GA implementation and practice. OmeGA, or the ordering messy genetic algorithm, combines some of the latest in competent GA technology to solve scheduling and other permutation problems. Competent GAs are those designed for principled solutions of hard problems, quickly, reliably, and accurately. Permutation and scheduling problems are difficult combinatorial optimization problems with commercial import across a variety of industries. This book approaches both subjects systematically and clearly. The first part of the book presents the clearest description of messy GAs written to date along with an innovative adaptation of the method to ordering problems. The second part of the book investigates the algorithm on boundedly difficult test functions, showing principled scale up as problems become harder and longer. Finally, the book applies the algorithm to a test function drawn from the literature of scheduling. Details ISBN1461352495 Author Dimitri Knjazew Language English Subtitle A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems Edition 02200th ISBN-10 1461352495 ISBN-13 9781461352495 Short Title OMEGA SOFTCOVER REPRINT O Series Genetic Algorithms and Evolutionary Computation Media Book DEWEY 519.3 Series Number 6 Birth 1974 Year 2012 Publication Date 2012-10-30 Imprint Springer-Verlag New York Inc. Place of Publication New York, NY Country of Publication United States Illustrations XXI, 152 p. AU Release Date 2012-10-30 NZ Release Date 2012-10-30 US Release Date 2012-10-30 UK Release Date 2012-10-30 Pages 152 Publisher Springer-Verlag New York Inc. Edition Description Softcover reprint of the original 1st ed. 2002 Format Paperback Alternative 9780792374602 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96394695;

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