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Metaheuristics: Progress as Real Problem Solvers

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Cover of 'Metaheuristics: Progress as Real Problem Solvers'

Table of Contents

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    Book Overview
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    Chapter 1 Metaheuristic Agent Processes (MAPS)
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    Chapter 2 GRASP with Path-Relinking: Recent Advances and Applications
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    Chapter 3 A Tabu Search Heuristic for a University Timetabling Problem
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    Chapter 4 An Investigation of Automated Planograms Using a Simulated Annealing Based Hyper-Heuristic
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    Chapter 5 Validation and Optimization of an Elevator Simulation Model with Modern Search Heuristics
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    Chapter 6 Multi-Objective Hyper-Heuristic Approaches for Space Allocation and Timetabling
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    Chapter 7 Theory and Practice of the Minimum Shift Design Problem
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    Chapter 8 Local Search Algorithms for the Two-Dimensional Cutting Stock Problem with a Given Number of Different Patterns
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    Chapter 9 A Generic Object-Oriented Tabu Search Framework
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    Chapter 10 Bi-Objective Sequencing of Cutting Patterns
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    Chapter 11 Metaheuristics Approach for Rule Acquisition in Flexible Shop Scheduling Problems
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    Chapter 12 Predicting Colorectal Cancer Recurrence: A Hybrid Neural Networks-Based Approach
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    Chapter 13 A Constructive Genetic Approach to Point-Feature Cartographic Label Placement
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    Chapter 14 Parallel Strategies for Grasp with Path-Relinking
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    Chapter 15 Speeding Up Local Search Neighborhood Evaluation for A Multi-Dimensional Knapsack Problem
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    Chapter 16 Computationally Difficult Instances for the Uncapacitated Facility Location Problem
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    Chapter 17 Consistent Neighbourhood in a Tabu Search
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    Chapter 18 Constraint Oriented Neighbourhoods — A New Search Strategy in Metaheuristics
Attention for Chapter 1: Metaheuristic Agent Processes (MAPS)
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