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Bio-inspired Algorithms for the Vehicle Routing Problem

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Cover of 'Bio-inspired Algorithms for the Vehicle Routing Problem'

Table of Contents

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    Book Overview
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    Chapter 1 A Review of Bio-inspired Algorithms for Vehicle Routing
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    Chapter 2 A GRASP × Evolutionary Local Search Hybrid for the Vehicle Routing Problem
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    Chapter 3 An Evolutionary Algorithm for the Open Vehicle Routing Problem with Time Windows
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    Chapter 4 Using Genetic Algorithms for Multi-depot Vehicle Routing
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    Chapter 5 Hybridizing Problem-Specific Operators with Meta-heuristics for Solving the Multi-objective Vehicle Routing Problem with Stochastic Demand
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    Chapter 6 Exploiting Fruitful Regions in Dynamic Routing Using Evolutionary Computation
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    Chapter 7 EVITA: An Integral Evolutionary Methodology for the Inventory and Transportation Problem
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    Chapter 8 A Memetic Algorithm for a Pick-Up and Delivery Problem by Helicopter
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    Chapter 9 When the Rubber Meets the Road: Bio-inspired Field Service Scheduling in the Real World
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