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Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling

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Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Approximation Algorithms for Spatial Scheduling
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    Chapter 2 Estimating the Costs of Planned Changes Implied by Freezing Production Plans
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    Chapter 3 Stochastic Scheduling for a Network of Flexible Job Shops
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    Chapter 4 A Free-Slack-Based Genetic Algorithm for the Robotic Cell Problem with Controllable Processing Times
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    Chapter 5 Metaheuristic for Randomized Priority Search (Meta-RaPS): A Tutorial
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    Chapter 6 Performance of an Intensification Strategy Based on Learning in a Metaheuristic: Meta-RaPS with Path Relinking
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    Chapter 7 Meta-RaPS for a Bi-objective Unrelated Parallel Machine Scheduling Problem
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    Chapter 8 Heuristics and Meta-heuristics for Runway Scheduling Problems
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    Chapter 9 A Tabu Search Algorithm for the Multiple Runway Aircraft Scheduling Problem
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    Chapter 10 Metaheuristic Approaches for Scheduling Jobs on Parallel Batch Processing Machines
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    Chapter 11 Worm Optimization for the Traveling Salesman Problem
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    Chapter 12 Heuristics and Simulated Annealing Algorithm for the Surgical Scheduling Problem
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    Chapter 13 Product Wheels in Manufacturing Operations Planning
Attention for Chapter 11: Worm Optimization for the Traveling Salesman Problem
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