5 December 2011 A method of COA based on multi-agent co-evolutionary algorithm
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Proceedings Volume 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing; 80050D (2011) https://doi.org/10.1117/12.902814
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
Abstract
In the complex situation of the battlefield, COA (course of action) places an important role. It is required to coordinate many resources in some actions to achieve the desired purpose in the battle. The main goal of COA is to arrange the action in the right order and to put the right resource in the right action. The task which is composed of many actions is always extremely complex. Therefore, COA is actually NP-Hard and a multi-objective optimization problem. It is difficult to solve this problem by common methods. In this paper, a mechanism of co-evolutionary is introduced to solve the problem of COA. It deals well with the problems of resource management and action scheduling.
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Xin Yu, Shuaijun Dong, Hui Wang, "A method of COA based on multi-agent co-evolutionary algorithm", Proc. SPIE 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing, 80050D (5 December 2011); doi: 10.1117/12.902814; https://doi.org/10.1117/12.902814
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