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Advances in Multi-Objective Nature Inspired Computing

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Cover of 'Advances in Multi-Objective Nature Inspired Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Multi-Objective Combinatorial Optimization: Problematic and Context
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    Chapter 2 Approximating Pareto-Optimal Sets Using Diversity Strategies in Evolutionary Multi-Objective Optimization
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    Chapter 3 On the Velocity Update in Multi-Objective Particle Swarm Optimizers
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    Chapter 4 Approaching Dynamic Multi-Objective Optimization Problems by Using Parallel Evolutionary Algorithms
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    Chapter 5 ParadisEO-MOEO: A Software Framework for Evolutionary Multi-Objective Optimization
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    Chapter 6 The Multiobjective Traveling Salesman Problem: A Survey and a New Approach
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    Chapter 7 On the Performance of Local Search for the Biobjective Traveling Salesman Problem
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    Chapter 8 A Bi-objective Metaheuristic for Disaster Relief Operation Planning
Attention for Chapter 4: Approaching Dynamic Multi-Objective Optimization Problems by Using Parallel Evolutionary Algorithms
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