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Artificial Evolution

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Cover of 'Artificial Evolution'

Table of Contents

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    Book Overview
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    Chapter 1 On the Design of a Master-Worker Adaptive Algorithm Selection Framework
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    Chapter 2 Comparison of Acceptance Criteria in Randomized Local Searches
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    Chapter 3 A Fitness Landscape View on the Tuning of an Asynchronous Master-Worker EA for Nuclear Reactor Design
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    Chapter 4 Sampled Walk and Binary Fitness Landscapes Exploration
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    Chapter 5 Semantics-Based Crossover for Program Synthesis in Genetic Programming
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    Chapter 6 On the Use of Dynamic GP Fitness Cases in Static and Dynamic Optimisation Problems
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    Chapter 7 MEMSA: A Robust Parisian EA for Multidimensional Multiple Sequence Alignment
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    Chapter 8 Basic, Dual, Adaptive, and Directed Mutation Operators in the Fly Algorithm
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    Chapter 9 A New High-Level Relay Hybrid Metaheuristic for Black-Box Optimization Problems
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    Chapter 10 Improved Hybrid Iterative Tabu Search for QAP Using Distance Cooperation
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    Chapter 11 H-ACO: A Heterogeneous Ant Colony Optimisation Approach with Application to the Travelling Salesman Problem
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    Chapter 12 Evolutionary Learning of Fire Fighting Strategies
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    Chapter 13 Evolutionary Optimization of Tone Mapped Image Quality Index
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    Chapter 14 LIDeOGraM: An Interactive Evolutionary Modelling Tool
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    Chapter 15 Automatic Configuration of GCC Using Irace
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    Chapter 16 Offline Learning for Selection Hyper-heuristics with Elman Networks
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Title
Artificial Evolution
Published by
Springer International Publishing, April 2018
DOI 10.1007/978-3-319-78133-4
ISBNs
978-3-31-978132-7, 978-3-31-978133-4
Editors

Lutton, Evelyne, Legrand, Pierrick, Parrend, Pierre, Monmarché, Nicolas, Schoenauer, Marc

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 100%
Readers by discipline Count As %
Computer Science 1 100%