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Dynamics of Large Structures and Inverse Problems

Mathematical and Mechanical Engineering Set Volume 5

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Civil Engineering Structures According to the Eurocodes

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Swelling Concrete in Dams and Hydraulic Structures

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The Chemostat

Mathematical Theory of Microorganims Cultures

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First Hitting Time Regression Models

Lifetime Data Analysis Based on Underlying Stochastic Processes

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The Innovative Company

An Ill-defined Object

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Reading and Writing Knowledge in Scientific Communities

Digital Humanities and Knowledge Construction

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Going Past Limits To Growth

A Report to the Club of Rome EU-Chapter

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Metaheuristics for Logistics

Metaheuristics Set Volume 4

Laurent Deroussi, Blaise Pascal University, Clermont-Ferrand, France

ISBN: 9781848218086

Publication Date: February 2016   Hardback   222 pp.

135.00 USD


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Description

Logistics has been progressively evolving in the industrial world ever since its emergence during the 19th Century. Today, it constitutes a means of pressure essential for the competitiveness of companies.
In three parts, this book describes the tools and techniques necessary to overcome classical combinatorial problems faced when designing a logistics network or driving a supply chain. In the first part, the author lays the foundations for logistic problems and for metaheuristics: a family of powerful optimization methods. The second part presents some advanced notions. It is shown how the conception of sophisticated mechanisms or specific problem knowledges can improve the efficiency of the metaheuristics. The last part concerns the current trends in supply chain management. Hybrid metaheuristics are presented as promising optimization tools for tackling the new challenging integrated problems that appears in this area.

Contents

1. Introductory Problems.
2. A Review of Logistic Problems.
3. An Introduction to Metaheuristics.
4. A First Implementation of Metaheuristics.
5. The Traveling Salesman Problem.
6.The Flow-Shop Problem.
7. Some Elements for Other Logistic Problems.
8. Supply Chain Management.
9. Hybridization and Coupling Using Metaheuristics.
10. Flexible Manufacturing Systems.
11. Synchronization Problems Based on Vehicle Routings.
12. Solution to Problems.

About the Authors

Laurent Deroussi is Associate Professor at Blaise Pascal University in Clermont-Ferrand, France

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