Multiobjective Scheduling by Genetic Algorithms / Edition 1

Multiobjective Scheduling by Genetic Algorithms / Edition 1

by Tapan P. Bagchi, Tapan P. Baghi
     
 

ISBN-10: 0792385616

ISBN-13: 9780792385615

Pub. Date: 09/01/1999

Publisher: Springer US

Multiobjective Scheduling by Genetic Algorithms describes methods for developing multiobjective solutions to common production scheduling eq uations modeling in the literature as flowshops, job shops and open sh ops. The methodology is metaheuristic, one inspired by how nature has evolved a multitude of coexisting species of living beings on earth.  See more details below

Overview

Multiobjective Scheduling by Genetic Algorithms describes methods for developing multiobjective solutions to common production scheduling eq uations modeling in the literature as flowshops, job shops and open sh ops. The methodology is metaheuristic, one inspired by how nature has evolved a multitude of coexisting species of living beings on earth.

Product Details

ISBN-13:
9780792385615
Publisher:
Springer US
Publication date:
09/01/1999
Edition description:
1999
Pages:
358
Product dimensions:
6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

Preface. 1. Shop Scheduling: An Overview. 2. What are Genetic Algorithms? 3. Calibration of GA Parameters. 4. Flowshop Scheduling. 5. Job Shop Scheduling. 6. Multiobjective Optimization. 7. Niche Formation and Speciation: Foundations of Multiobjective GAs. 8. The Nondominated Sorting Genetic Algorithm: NSGA. 9. Multiobjective Flowshop Scheduling. 10. A New Genetic Algorithm for Sequencing the Multiobjective Flowshop. 11. A Comparison of Multiobjective Flowshop Sequencing by NSGA and ENGA. 12. Multiobjective Job Shop Scheduling. 13. Multiobjective Open Shop Scheduling. 14. Epilog and Directions for Further Work. References. Appendix. Glossary. Index.

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