Abstract
This paper presents an application of ant colony optimisation and genetic algorithm to rescue operation planning. It considers the task as the multiple travelling salesmen problem and proposes suitable heuristics in order to improve the performance of the selected techniques. Then it applies the implemented solutions to a real data. The paper concludes with comparison of the implementations and discussion on the aspects of the utilisation of the proposed heuristics.
Cite
CITATION STYLE
Kubalík, J., Kléma, J., & Kulich, M. (2004). Application of soft computing techniques to rescue operation planning. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3070, pp. 897–902). Springer Verlag. https://doi.org/10.1007/978-3-540-24844-6_139
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
