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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
Attention for Chapter 1: Hybrid Algorithms Based on Integer Programming for the Search of Prioritized Test Data in Software Product Lines
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Chapter title
Hybrid Algorithms Based on Integer Programming for the Search of Prioritized Test Data in Software Product Lines
Chapter number 1
Book title
Applications of Evolutionary Computation
Published in
Lecture notes in computer science, March 2017
DOI 10.1007/978-3-319-55792-2_1
Book ISBNs
978-3-31-955791-5, 978-3-31-955792-2
Authors

Javier Ferrer, Francisco Chicano, Enrique Alba

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 20%
Researcher 2 13%
Student > Bachelor 2 13%
Lecturer > Senior Lecturer 1 7%
Other 1 7%
Other 2 13%
Unknown 4 27%
Readers by discipline Count As %
Computer Science 8 53%
Engineering 1 7%
Unknown 6 40%