| Document Type
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BL
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| Record Number
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719778
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| Doc. No
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b539471
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| Main Entry
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by Dimitri Knjazew.
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| Title & Author
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OmeGA : : a Competent Genetic Algorithm for Solving Permutation and Scheduling Problems\ by Dimitri Knjazew.
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| Publication Statement
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Boston, MA: Springer US : Imprint : Springer, 2002
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| Series Statement
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Genetic algorithms and evolutionary computation, 6.
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| Page. NO
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(174 pages)
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| ISBN
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1461352495
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: 146150807X
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: 9781461352495
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: 9781461508076
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| Contents
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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.
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| Abstract
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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.
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| Subject
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Genetic algorithms.
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| Subject
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Permutations.
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| Subject
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Scheduling -- Mathematics.
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| Added Entry
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Dimitri Knjazew
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