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Evolutionary Computation in Combinatorial Optimization

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Cover of 'Evolutionary Computation in Combinatorial Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 Optimizing Prices and Periods in Time-of-use Electricity Tariff Design Using Bilevel Programming
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    Chapter 2 An Algebraic Approach for the Search Space of Permutations with Repetition
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    Chapter 3 A Comparison of Genetic Representations for Multi-objective Shortest Path Problems on Multigraphs
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    Chapter 4 The Univariate Marginal Distribution Algorithm Copes Well with Deception and Epistasis
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    Chapter 5 A Beam Search Approach to the Traveling Tournament Problem
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    Chapter 6 Cooperative Parallel SAT Local Search with Path Relinking
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    Chapter 7 Dynamic Compartmental Models for Large Multi-objective Landscapes and Performance Estimation
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    Chapter 8 Fitness Landscape Analysis of Automated Machine Learning Search Spaces
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    Chapter 9 On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D
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    Chapter 10 A Grouping Genetic Algorithm for Multi Depot Pickup and Delivery Problems with Time Windows and Heterogeneous Vehicle Fleets
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    Chapter 11 MILPIBEA: Algorithm for Multi-objective Features Selection in (Evolving) Software Product Lines
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    Chapter 12 A Group Genetic Algorithm for Resource Allocation in Container-Based Clouds
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    Chapter 13 The Local Optima Level in Chemotherapy Schedule Optimisation
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    Chapter 14 Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling
Attention for Chapter 9: On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D
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