Ebook: Bio-inspired Algorithms for the Vehicle Routing Problem

The vehicle routing problem (VRP) is one of the most famous combinatorial optimization problems. In simple terms, the goal is to determine a set of routes with overall minimum cost that can satisfy several geographical scattered demands. Biological inspired computation is a field devoted to the development of computational tools modeled after principles that exist in natural systems. The adoption of such design principles enables the production of problem solving techniques with enhanced robustness and flexibility, able to tackle complex optimization situations.

The goal of the volume is to present a collection of state-of-the-art contributions describing recent developments concerning the application of bio-inspired algorithms to the VRP. Over the 9 chapters, different algorithmic approaches are considered and a diverse set of problem variants are addressed. Some contributions focus on standard benchmarks widely adopted by the research community, while others address real-world situations.

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The vehicle routing problem (VRP) is one of the most famous combinatorial optimization problems. In simple terms, the goal is to determine a set of routes with overall minimum cost that can satisfy several geographical scattered demands. Biological inspired computation is a field devoted to the development of computational tools modeled after principles that exist in natural systems. The adoption of such design principles enables the production of problem solving techniques with enhanced robustness and flexibility, able to tackle complex optimization situations.

The goal of the volume is to present a collection of state-of-the-art contributions describing recent developments concerning the application of bio-inspired algorithms to the VRP. Over the 9 chapters, different algorithmic approaches are considered and a diverse set of problem variants are addressed. Some contributions focus on standard benchmarks widely adopted by the research community, while others address real-world situations.

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The vehicle routing problem (VRP) is one of the most famous combinatorial optimization problems. In simple terms, the goal is to determine a set of routes with overall minimum cost that can satisfy several geographical scattered demands. Biological inspired computation is a field devoted to the development of computational tools modeled after principles that exist in natural systems. The adoption of such design principles enables the production of problem solving techniques with enhanced robustness and flexibility, able to tackle complex optimization situations.

The goal of the volume is to present a collection of state-of-the-art contributions describing recent developments concerning the application of bio-inspired algorithms to the VRP. Over the 9 chapters, different algorithmic approaches are considered and a diverse set of problem variants are addressed. Some contributions focus on standard benchmarks widely adopted by the research community, while others address real-world situations.

Content:
Front Matter....Pages -
A Review of Bio-inspired Algorithms for Vehicle Routing....Pages 1-34
A GRASP ? Evolutionary Local Search Hybrid for the Vehicle Routing Problem....Pages 35-53
An Evolutionary Algorithm for the Open Vehicle Routing Problem with Time Windows....Pages 55-75
Using Genetic Algorithms for Multi-depot Vehicle Routing....Pages 77-99
Hybridizing Problem-Specific Operators with Meta-heuristics for Solving the Multi-objective Vehicle Routing Problem with Stochastic Demand....Pages 101-129
Exploiting Fruitful Regions in Dynamic Routing Using Evolutionary Computation....Pages 131-149
EVITA: An Integral Evolutionary Methodology for the Inventory and Transportation Problem....Pages 151-172
A Memetic Algorithm for a Pick-Up and Delivery Problem by Helicopter....Pages 173-190
When the Rubber Meets the Road: Bio-inspired Field Service Scheduling in the Real World....Pages 191-213
Back Matter....Pages -

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The vehicle routing problem (VRP) is one of the most famous combinatorial optimization problems. In simple terms, the goal is to determine a set of routes with overall minimum cost that can satisfy several geographical scattered demands. Biological inspired computation is a field devoted to the development of computational tools modeled after principles that exist in natural systems. The adoption of such design principles enables the production of problem solving techniques with enhanced robustness and flexibility, able to tackle complex optimization situations.

The goal of the volume is to present a collection of state-of-the-art contributions describing recent developments concerning the application of bio-inspired algorithms to the VRP. Over the 9 chapters, different algorithmic approaches are considered and a diverse set of problem variants are addressed. Some contributions focus on standard benchmarks widely adopted by the research community, while others address real-world situations.

Content:
Front Matter....Pages -
A Review of Bio-inspired Algorithms for Vehicle Routing....Pages 1-34
A GRASP ? Evolutionary Local Search Hybrid for the Vehicle Routing Problem....Pages 35-53
An Evolutionary Algorithm for the Open Vehicle Routing Problem with Time Windows....Pages 55-75
Using Genetic Algorithms for Multi-depot Vehicle Routing....Pages 77-99
Hybridizing Problem-Specific Operators with Meta-heuristics for Solving the Multi-objective Vehicle Routing Problem with Stochastic Demand....Pages 101-129
Exploiting Fruitful Regions in Dynamic Routing Using Evolutionary Computation....Pages 131-149
EVITA: An Integral Evolutionary Methodology for the Inventory and Transportation Problem....Pages 151-172
A Memetic Algorithm for a Pick-Up and Delivery Problem by Helicopter....Pages 173-190
When the Rubber Meets the Road: Bio-inspired Field Service Scheduling in the Real World....Pages 191-213
Back Matter....Pages -
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