J4 ›› 2016, Vol. 38 ›› Issue (01): 62-66.
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YAN Pan,TAN Ying,ZHANG Jianhua
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Abstract:
Evolutionary algorithms have been widely used in practical problems for their remarkable system modeling capability and spatial searching capability. However, there is a problem of repetitive computation for individual fitness in the process of evolutionary algorithms. Especially when solving complex engineering problems, fitness calculations can expend a large amount of time. The hash table features highspeed access capability, which can be used to access historical data of fitness and solve repetitive computation problem of individual fitness during the optimization process without affecting the results. Simulation results prove the efficiency of the proposal.
Key words: hash table;historical calculation data;evolutionary algorithms
YAN Pan,TAN Ying,ZHANG Jianhua. A method of using historical calculation data efficiently in evolutionary algorithms [J]. J4, 2016, 38(01): 62-66.
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