E-book
Knowledge Incorporation in Evolutionary Computation [electronic resource] / edited by Yaochu Jin.
Record details
- ISBN: 9783540445111
- Physical Description: XIII, 548 p. online resource.
- Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : 2005.
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Electronic resources
| From the contents: Part I: Introduction | ||
| A Selected Introduction to Evolutionary Computation | ||
| Part II: Knowledge Incorporation in Initialization, Recombination and Mutation | ||
| The Use of Collective Memory in Genetic Programming | ||
| A Cultural Algorithm for Solving the Job Shop Scheduling Problem | ||
| Part III: Knowledge Incorporation in Selection and Reproduction | ||
| Learning Probabilistic Models for Enhanced Evolutionary Computation | ||
| Probabilistic Models for Linkage Learning in Forest Management | ||
| Part IV: Knowledge Incorporation in Fitness Evaluations | ||
| Neural Networks for Fitness Approximation in Evolutionary Optimization | ||
| Part V: Knowledge Incorporation Through Lifetime Learning and Human-Computer Interactions | ||
| Knowledge Incorporation Through Lifetime Learning | ||
| Part VI: Preference Incorporation in Multi-objective Evolutionary Computation | ||
| Integrating User Preferences into Evolutionary Multi-Objective Optimization. |
