Application of Genetic Algorithms for the Design of Ozone Control Strategies-Reference-Cited by-同舟云学术

Application of Genetic Algorithms for the Design of Ozone Control Strategies

Published:2000-06 Issue:6 Volume:50 Page:1050-1063
ISSN:1096-2247
Container-title:Journal of the Air & Waste Management Association
language:en
Short-container-title:Journal of the Air & Waste Management Association

Author:

Loughlin Daniel H.¹,Ranjithan S. Ranji¹,Baugh John W.¹,Brill E. Downey¹

Affiliation:

1. a Civil Engineering Department , North Carolina State University , Raleigh , USA

Publisher

Informa UK Limited

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal

Link

https://www.tandfonline.com/doi/pdf/10.1080/10473289.2000.10464133

Reference21 articles.

1. Loughlin, D.H.; Brill, E.D., Jr.; Ranjithan, S.; Fine, S.S.; Gillon, D.L.; Fu, S.Y. InEmissions Inventory,Gertler, A., Ed.; A&WMA Specialty Conference, Research Triangle Park, NC, 1997.

2. Gillon, D.L. Masters Thesis, North Carolina State University, 1999.

3. Goldberg, D.E.Genetic Algorithms in Search, Optimization, and Machine Learning;Addison-Wesley: Reading, MA, 1989.

4. Michalewicz, Z.Genetic Algorithms + Data Structures = Evolution Programs;Springer-Verlag: New York, 1996.

5. Van Laarhoven, P.J.M.; Aarts, E.H.L.Simulated Annealing: Theory and Applications;Kluwer: Norwell, MA, 1987.

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