论文信息 - Genetic algorithm optimization of a firewater deluge system

Genetic algorithm optimization of a firewater deluge system

Safety systems are designed to operate when certain conditions occur and to act to prevent their development into a hazardous situation. Failure of a safety system for a potentially hazardous industrial system or process may have catastrophic consequences, possibly injuring members of the work force or public and occasionally resulting in loss of life. The purpose of this paper is to describe a design optimization scheme using genetic algorithms applied to a firewater deluge system, which uses available resources to the best possible advantage to obtain an optimal safety system design. Copyright © 2003 John Wiley & Sons, Ltd.

John Andrews | L. M. Bartlett

[1] Antoine Rauzy,et al. New algorithms for fault trees analysis , 1993 .

[2] John Andrews,et al. New approaches to evaluating fault trees , 1997 .

[3] Roslyn M. Sinnamon,et al. Improved efficiency in qualitative fault tree analysis , 1997 .

[4] Roslyn M. Sinnamon,et al. Improved accuracy in quantitative fault tree analysis , 1997 .

[5] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[6] John Andrews,et al. Genetic algorithms in optimal safety system design , 1999 .

[7] Roslyn M. Sinnamon,et al. Fault tree analysis and binary decision diagrams , 1996, Proceedings of 1996 Annual Reliability and Maintainability Symposium.