@article{MAKHILLIJEPE20082325126,
    title = {Reliability Maximization of Power System Using Ant Colony Approach},
    journal = {International Journal of Electrical and Power Engineering},
    volume = {2},
    number = {3},
    pages = {192-201},
    year = {2008},
    issn = {1990-7958},
    doi = {ijepe.2008.192.201},
    url = {https://makhillpublications.co/view-article.php?issn=1990-7958&doi=ijepe.2008.192.201},
    author = {A. Zeblah},
    keywords = {Ant colony,reliability optimization,multi-state systems,Universal Moment Generating Function (UMGF)},
    abstract = {This study describes and uses an ant colony meta-heuristic optimization method to solve the reliability optimization problem. This problem is known as total reliability maximization of parallel-series system configuration. Redundant elements are included to achieve a high desired level of reliability. System reliability is represented by a multi-state reliability function. The systems elements are characterized by their performance (capacity), reliability and cost. These elements are chosen among a list of products available on the market. The proposed meta-heuristic seeks to the best maximal reliability system configuration with limited system investment. To estimate the parallel-series system reliability, a fast method based on Universal Moment Generating Function (UMGF) is suggested. The ant colony approach is used as an optimization technique.}
    }