Open access peer-reviewed chapter

Design of an Efficient Genetic Algorithm to Solve the Industrial Car Sequencing Problem

By A. Zinflou, C. Gagné and M. Gravel

Published: November 1st 2008

DOI: 10.5772/6122

Downloaded: 2298

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

A. Zinflou, C. Gagné and M. Gravel (November 1st 2008). Design of an Efficient Genetic Algorithm to Solve the Industrial Car Sequencing Problem, Advances in Evolutionary Algorithms, Witold Kosinski, IntechOpen, DOI: 10.5772/6122. Available from:

chapter statistics

2298total chapter downloads

2Crossref citations

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Symbiotic Evolution Genetic Algorithms for Reinforcement Fuzzy Systems Design

By Chia-Feng Juang and I-Fang Chung

Related Book

First chapter

Traveling Salesman Problem: an Overview of Applications, Formulations, and Solution Approaches

By Rajesh Matai, Surya Singh and Murari Lal Mittal

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

More about us