General

Authors

Search


Committee login



 
 

 


 

 

Forthcoming

Small thumbnail

Secure Connected Objects

Small thumbnail

Banach, Fréchet, Hilbert and Neumann Spaces

Analysis for PDEs Set Volume 1

Small thumbnail

Semi-Markov Migration Models for Credit Risk

Stochastic Models for Insurance Set Volume 1

Small thumbnail

Human Exposure to Electromagnetic Fields

From Extremely Low Frequency (ELF) to Radio Frequency

Small thumbnail

Enterprise Interoperability

INTEROP-PGSO Vision

Small thumbnail

Data Treatment in Environmental Sciences

Multivaried Approach

Small thumbnail

From Pinch Methodology to Pinch-Exergy Integration of Flexible Systems

Thermodynamics Energy, Environment, Economy Set

Small thumbnail

Exterior Algebras

Elementary Tribute to Grassmann's Ideas

Small thumbnail

Nonlinear Theory of Elastic Plates

Small thumbnail

Cognitive Approach to Natural Language Processing

Small thumbnail

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


Add to cart

eBooks


Ebook Ebook

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

Downloads

DownloadTable of Contents - PDF File - 123 Kb

Related Titles



































0.02105 s.