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Applications of Evolutionary Computation

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Cover of 'Applications of Evolutionary Computation'

Table of Contents

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    Book Overview
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    Chapter 1 Hybrid Algorithms Based on Integer Programming for the Search of Prioritized Test Data in Software Product Lines
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    Chapter 2 On the Use of Smelly Examples to Detect Code Smells in JavaScript
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    Chapter 3 Deep Parameter Tuning of Concurrent Divide and Conquer Algorithms in Akka
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    Chapter 4 Focusing Learning-Based Testing Away from Known Weaknesses
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    Chapter 5 Polytypic Genetic Programming
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    Chapter 6 Evolving Rules for Action Selection in Automated Testing via Genetic Programming - A First Approach
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    Chapter 7 A New Multi-swarm Particle Swarm Optimization for Robust Optimization Over Time
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    Chapter 8 The Static and Stochastic VRP with Time Windows and both Random Customers and Reveal Times
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    Chapter 9 Pre-scheduled Colony Size Variation in Dynamic Environments
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    Chapter 10 An Online Packing Heuristic for the Three-Dimensional Container Loading Problem in Dynamic Environments and the Physical Internet
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    Chapter 11 Advancing Dynamic Evolutionary Optimization Using In-Memory Database Technology
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    Chapter 12 Road Traffic Rules Synthesis Using Grammatical Evolution
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    Chapter 13 Solving Dynamic Graph Coloring Problem Using Dynamic Pool Based Evolutionary Algorithm
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    Chapter 14 Meta-heuristics for Improved RF Emitter Localization
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    Chapter 15 Automated Design of Genetic Programming Classification Algorithms Using a Genetic Algorithm
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