Chaotic Hopfield Neural Network Swarm Optimization and Its Application
نویسندگان
چکیده
A new neural network based optimization algorithm is proposed.The presentedmodel is a discrete-time, continuous-stateHopfield neural network and the states of the model are updated synchronously. The proposed algorithm combines the advantages of traditional PSO, chaos andHopfield neural networks: particles learn from their own experience and the experiences of surrounding particles, their search behavior is ergodic, and convergence of the swarm is guaranteed.The effectiveness of the proposed approach is demonstrated using simulations and typical optimization problems.
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ورودعنوان ژورنال:
- J. Applied Mathematics
دوره 2013 شماره
صفحات -
تاریخ انتشار 2013