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- W2388590924 abstract "This paper proposes an improved ant system with multiple phases and preferences(MP2AS).The ant colony is composed of four ant groups,which attaches different significance to pheromone,visibility and savings.Normally all ants conduct state transitions with the same rule and simultaneously update the public / private pheromones.Once trapped in local optima,each ant group will calculate the transition probability according to its own preference type and stochastic weights,and update its own private pheromone.The discrepancy of preference type realizes the concurrent search along different directions,while the random preference weights increase the probability of finding superior solutions.The global optimal solution is periodically utilized to update the public and private pheromones to enhance the communication among ant groups and provide guidance for the evolution of the whole ant colony.Numeric experiments are performed on various vehicle routing benchmark problems and computational results indicate that the proposed algorithm is with strong capability of global exploration as well as local exploitation." @default.
- W2388590924 created "2016-06-24" @default.
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- W2388590924 date "2013-01-01" @default.
- W2388590924 modified "2023-09-23" @default.
- W2388590924 title "Improved ant system with deterministic preference and stochastic weights" @default.
- W2388590924 hasPublicationYear "2013" @default.
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