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Applications of Evolutionary Computation

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Applications of Evolutionary Computation
Springer Berlin Heidelberg

Table of Contents

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    Book Overview
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    Chapter 1 Evolving L-Systems as an Intelligent Design Approach to Find Classes of Difficult-to-Solve Traveling Salesman Problem Instances
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    Chapter 2 A Design Framework for Ultra-Large-Scale Autonomic Systems
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    Chapter 3 Stochastic Local Search to Automatically Design Boolean Networks with Maximally Distant Attractors
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    Chapter 4 A Study on the Mutation Rates of a Genetic Algorithm Interacting with a Sandpile
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    Chapter 5 On the Design of Boolean Network Robots
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    Chapter 6 Multiple Tree for Partially Observable Monte-Carlo Tree Search
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    Chapter 7 Evolving Interesting Maps for a First Person Shooter
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    Chapter 8 Revisiting Monte-Carlo Tree Search on a Normal Form Game: NoGo
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    Chapter 9 Nested Look-Ahead Evolutionary Algorithm Based Planning for a Believable Diplomacy Bot
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    Chapter 10 Towards Procedural Strategy Game Generation: Evolving Complementary Unit Types
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    Chapter 11 Improving and Scaling Evolutionary Approaches to the MasterMind Problem
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    Chapter 12 Training Neural Networks to Play Backgammon Variants Using Reinforcement Learning
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    Chapter 13 Evolving Behaviour Trees for the Mario AI Competition Using Grammatical Evolution
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    Chapter 14 Learning Chasing Behaviours of Non-Player Characters in Games Using SARSA
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    Chapter 15 Driving Faster Than a Human Player
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    Chapter 16 Upper Confidence Trees with Short Term Partial Information
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    Chapter 17 Segmentation of Ultrasound Breast Images: Optimization of Algorithm Parameters
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    Chapter 18 A Hybrid Particle Swarm Optimisation with Differential Evolution Approach to Image Segmentation
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    Chapter 19 Transparent, Online Image Pattern Classification Using a Learning Classifier System
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    Chapter 20 Tracking Multiple Targets with Adaptive Swarm Optimization
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    Chapter 21 Advanced Metaheuristic Approaches and Population Doping for a Novel Modeling-Based Method of Positron Emission Tomography Data Analysis
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    Chapter 22 Evolutionary Synthesis of a Trajectory Integrator for an Analogue Brain-Computer Interface Mouse
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    Chapter 23 Automatic Selection of Pareto-Optimal Topologies of Hidden Markov Models Using Multicriteria Evolutionary Algorithms
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    Chapter 24 When Novelty Is Not Enough
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    Chapter 25 A Part-Of-Speech Lexicographic Encoding for an Evolutionary Word Sense Disambiguation Approach
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    Chapter 26 Migrating Birds Optimization: A New Meta-heuristic Approach and Its Application to the Quadratic Assignment Problem
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    Chapter 27 Opposition-Based Learning in Compact Differential Evolution
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    Chapter 28 Data Mining Using Unguided Symbolic Regression on a Blast Furnace Dataset
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    Chapter 29 DISPAR-Tournament: A Parallel Population Reduction Operator That Behaves Like a Tournament
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    Chapter 30 Global Characterization of the CEC 2005 Fitness Landscapes Using Fitness-Distance Analysis
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    Chapter 31 A Framework for Multi-model EDAs with Model Recombination
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    Chapter 32 An Investigation of Selection Hyper-heuristics in Dynamic Environments
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    Chapter 33 Applications of Evolutionary Computation
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    Chapter 34 Solving Dynamic Constrained Optimization Problems with Asynchronous Change Pattern
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    Chapter 35 Flexible Variable Neighborhood Search in Dynamic Vehicle Routing
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    Chapter 36 CHC-Based Algorithms for the Dynamic Traveling Salesman Problem
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