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- W2356504994 abstract "Adaptive ant colony algorithm derives from conditional ant colony algorithm.It succeeds in many path optimal problems.However,with the scales of those problems increasing,adaptive ant colony algorithm can't meet our needs effectively.Based on the idea of distribution,we solve large scale path optimal problems using multi-ant algorithm by relative reinforcement learning and adopting regret values to cut down the awful influence as less as possible and utilizing the 2-opt algorithm to avoid trapping into local solution.We should take simulations for different scales of TSP to compare the results and discuss them to gain the final conclusion." @default.
- W2356504994 created "2016-06-24" @default.
- W2356504994 creator A5007372603 @default.
- W2356504994 date "2010-01-01" @default.
- W2356504994 modified "2023-09-28" @default.
- W2356504994 title "The Model of Relative Reinforcement Learning Using Multi-ant Cooperation Based on Regret Values" @default.
- W2356504994 hasPublicationYear "2010" @default.
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