Pre-scheduled Colony Size Variation in Dynamic Environments

نویسندگان

  • Michalis Mavrovouniotis
  • Anastasia Ioannou
  • Shengxiang Yang
چکیده

The performance of the MAX -MIN ant system (MMAS) in dynamic optimization problems (DOPs) is sensitive to the colony size. In particular, a large colony size may waste computational resources whereas a small colony size may restrict the searching capabilities of the algorithm. There is a trade off in the behaviour of the algorithm between the early and later stages of the optimization process. A smaller colony size leads to better performance on shorter runs whereas a larger colony size leads to better performance on longer runs. In this paper, pre-scheduling of varying the colony size of MMAS is investigated in dynamic environments.

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تاریخ انتشار 2017