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Nonlinear Theory of Elastic Plates

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Exterior Algebras

Elementary Tribute to Grassmann's Ideas

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From Pinch Methodology to Pinch-Exergy Integration of Flexible Systems

Thermodynamics Energy, Environment, Economy Set

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Data Treatment in Environmental Sciences

Multivaried Approach

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Gas Hydrates 1

Fundamentals, Characterization and Modeling

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Smart Decisions in Complex Systems

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Chi-squared Goodness-of-fit Tests for Censored Data

Stochastic Models in Survival Analysis and Reliability Set Volume 3

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Baidu SEO

Challenges and Intricacies of Marketing in China

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Supply Chain Management and Business Performance

The VASC Model

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Asymmetric Alliances and Information Systems

Issues and Prospects

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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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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.


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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