Genetic Algorithm Implementation for Distributed Security Systems Optimization
This paper describes two algorithms for optimizing the design of distributed perimeter security systems. The first algorithm is a straightforward algorithm whose primary purpose is to help us formulate the problem formally. The second algorithm, is a genetic algorithm. Both algorithms were incorporated into a new module for our distributed security systems CAD software. Tests of the module show that it produced better solutions more quickly than any other algorithms that are known to us.
P. E. Bykovyy et al., "Genetic Algorithm Implementation for Distributed Security Systems Optimization," Proceedings of the IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (2008, Istanbul, Turkey), pp. 120-124, Institute of Electrical and Electronics Engineers (IEEE), Jul 2008.
The definitive version is available at https://doi.org/10.1109/CIMSA.2008.4595845
IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (2008: Jul. 14-16, Istanbul, Turkey)
Keywords and Phrases
Artificial intelligence; Computer aided design; Diesel engines; Genetic algorithms; Intelligent control; Optimization; Security systems; Algorithm implementation; CAD softwares; Computational intelligence; Distributed security systems; International conferences; Measurement systems; Perimeter security; Security system optimization; Systems optimization; Algorithms
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2008 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Jul 2008