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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 The Multi-Funnel Structure of TSP Fitness Landscapes: A Visual Exploration
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    Chapter 2 Approaches for Many-Objective Optimization: Analysis and Comparison on MNK-Landscapes
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    Chapter 3 Traffic Signal Optimization: Minimizing Travel Time and Fuel Consumption
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    Chapter 4 How to Mislead an Evolutionary Algorithm Using Global Sensitivity Analysis
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    Chapter 5 Quasi-random Numbers Improve the CMA-ES on the BBOB Testbed
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    Chapter 6 Progressive Differential Evolution on Clustering Real World Problems
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    Chapter 7 Distributed Adaptive Metaheuristic Selection: Comparisons of Selection Strategies
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    Chapter 8 Combining Mutation and Recombination to Improve a Distributed Model of Adaptive Operator Selection
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    Chapter 9 Parameter Setting for Multicore CMA-ES with Large Populations
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    Chapter 10 Towards Human-Competitive Game Playing for Complex Board Games with Genetic Programming
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    Chapter 11 SGE: A Structured Representation for Grammatical Evolution
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    Chapter 12 Greedy Semantic Local Search for Small Solutions
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    Chapter 13 Effects of Cooperation in a Bioinspired Multi-agent Autonomous System for Solving Optimization Problems
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    Chapter 14 Novelty-Driven Particle Swarm Optimization
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    Chapter 15 How a Model Based on P-temporal Petri Nets Can Be Used to Study Aggregation Behavior
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    Chapter 16 A Distributed Hybrid Algorithm for the Graph Coloring Problem
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    Chapter 17 Variance Reduction in Population-Based Optimization: Application to Unit Commitment
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    Chapter 18 On the Codimension of the Set of Optima: Large Scale Optimisation with Few Relevant Variables
Attention for Chapter 1: The Multi-Funnel Structure of TSP Fitness Landscapes: A Visual Exploration
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