Introduction to evolutionary algorithms /
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Author / Creator: | Yu, Xinjie. |
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Imprint: | London : Springer, 2010. |
Description: | 1 online resource (xvi, 418 p.) |
Language: | English |
Series: | Decision engineering Decision engineering. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/8893142 |
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100 | 1 | |a Yu, Xinjie. |0 http://id.loc.gov/authorities/names/no2010122562 |1 http://viaf.org/viaf/148512802 | |
245 | 1 | 0 | |a Introduction to evolutionary algorithms / |c by Xinjie Yu, Mitsuo Gen. |
260 | |a London : |b Springer, |c 2010. | ||
300 | |a 1 online resource (xvi, 418 p.) | ||
336 | |a text |b txt |2 rdacontent |0 http://id.loc.gov/vocabulary/contentTypes/txt | ||
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490 | 1 | |a Decision engineering | |
588 | |a Description based on print version record. | ||
504 | |a Includes bibliographical references and index. | ||
505 | 0 | |a Cover13; -- Preface -- Contents -- Part I -- Evolutionary Algorithms -- Chapter 1 -- Introduction -- 1.1 What Are Evolutionary Algorithms Used For? -- 1.2 What Are Evolutionary Algorithms? -- Suggestions for Further Reading -- References -- Chapter 2 -- Simple Evolutionary Algorithms -- 2.1 Introductory Remarks -- 2.2 Simple Genetic Algorithm -- 2.3 Evolution Strategy and Evolutionary Programming -- 2.4 Direction-based Search -- 2.5 Summary -- Suggestions for Further Reading -- Exercises and Potential Research Projects -- References -- Chapter 3 -- Advanced Evolutionary Algorithms -- 3.1 Problems We Face -- 3.2 Encoding and Operators -- 3.3 Selection Methods -- 3.4 Replacement and Stop Criteria -- 3.5 Parameter Control -- 3.6 Performance Evaluation of Evolutionary Algorithms -- 3.7 Brief Introduction to Other Topics -- 3.8 Summary -- Suggestions for Further Reading -- Exercises and Potential Research Projects -- References -- Part II -- Dealing with Complicated Problems -- Chapter 4 -- Constrained Optimization -- 4.1 Introduction -- 4.2 Feasibility Maintenance -- 4.3 Penalty Function -- 4.4 Separation of Constraint Violation and Objective Value -- 4.5 Performance Evaluation of Constrained Optimization Evolutionary Algorithms -- 4.6 Summary -- Suggestions for Further Reading -- Exercises and Potential Research Projects -- References -- Chapter 5 -- Multimodal Optimization -- 5.1 Problems We Face -- 5.2 Sequential Niche -- 5.3 Fitness Sharing -- 5.4 Crowding -- 5.5 Performance Indices for Multimodal Optimization -- 5.6 Application Example -- 5.7 Summary -- Suggestions for Further Reading -- Exercises and Potential Research Projects -- References -- Chapter 6 -- Multiobjective Optimization -- 6.1 Introduction -- 6.2 Preference-based Approaches -- 6.3 Vector-evaluated Genetic Algorithm -- 6.4 Considerations for Designing Multiobjective Evolutionary Algorithms -- 6.5 Classical Multiobjective Evolutionary Algorithms -- 6.6 Cutting Edges of Multiobjective Evolutionary Algorithms -- 6.7 Performance Evaluation of Multiobjective Evolutionary Algorithms -- 6.8 Objectives vs. Constraints -- 6.9 Application Example -- 6.10 Summary -- Suggestions for Further Reading -- Exercises and Potential Research Projects -- References -- Chapter 7 -- Combinatorial Optimization -- 7.1 Introduction -- 7.2 Knapsack Problem -- 7.3 Traveling Salesman Problem -- 7.4 Job-shop Scheduling Problem -- 7.5 Summary -- Suggestions for Further Reading -- Exercises and Potential Research Projects -- References -- Part III -- Brief Introduction to Other Evolutionary Algorithms -- Chapter 8 -- Swarm Intelligence -- 8.1 Introduction -- 8.2 Ant Colony Optimization -- 8.3 Particle Swarm Optimization -- 8.4 Summary -- Suggestions for Further Reading -- Exercises and Potential Research Projects -- References -- Chapter 9 -- Artificial Immune Systems -- 9.1 Introduction -- 9.2 Artificial Immune System Based on Clonal Selection -- 9.3 Artificial Immune System Based on Immune Network -- 9.4 Artificial Immune System Based on Negative Selection -- 9.5 Summary -- Suggestions for Further Reading -- Exercises and Potential Research Projects -- References -- Chapter 10 -- Genetic Programming -- 10.1 Introduction to Genetic Programming -- T$29819. | |
650 | 0 | |a Evolutionary programming (Computer science) |0 http://id.loc.gov/authorities/subjects/sh95003941 | |
650 | 0 | |a Genetic algorithms. |0 http://id.loc.gov/authorities/subjects/sh92002377 | |
650 | 0 | |a Evolutionary computation. |0 http://id.loc.gov/authorities/subjects/sh95003989 | |
650 | 4 | |a Computer science. | |
655 | 4 | |a Electronic books. | |
650 | 7 | |a Evolutionary computation. |2 fast |0 http://id.worldcat.org/fast/fst00917338 | |
650 | 7 | |a Evolutionary programming (Computer science) |2 fast |0 http://id.worldcat.org/fast/fst00917347 | |
650 | 7 | |a Genetic algorithms. |2 fast |0 http://id.worldcat.org/fast/fst00939996 | |
650 | 7 | |a COMPUTERS |x Programming |x Open Source. |2 bisacsh | |
650 | 7 | |a COMPUTERS |x Software Development & Engineering |x Tools. |2 bisacsh | |
650 | 7 | |a COMPUTERS |x Software Development & Engineering |x General. |2 bisacsh | |
700 | 1 | |a Gen, Mitsuo, |d 1944- |0 http://id.loc.gov/authorities/names/n96038287 |1 http://viaf.org/viaf/59316926 | |
776 | 0 | 8 | |i Print version: |a Yu, Xinjie. |t Introduction to evolutionary algorithms. |d London : Springer, 2010 |z 9781849961288 |z 184996128X |w (OCoLC)495781315 |
830 | 0 | |a Decision engineering. |0 http://id.loc.gov/authorities/names/n2003002479 | |
856 | 4 | 0 | |u http://dx.doi.org/10.1007/978-1-84996-129-5 |y SpringerLink |
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