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A novel mutation operator based on the union of fitness and design spaces information for Differential Evolution
Year: 2016
Abstract:
Differential Evolution (DE) is one of the most successful and powerful evolutionary algorithms for global
optimization problem. The most important operator in this algorithm is mutation operator which parents are ...
Robust and stable gene selection via Maximum–Minimum Correntropy Criterion
Year: 2016
Abstract:
One of the central challenges in cancer research is identifying significant genes among thousands of others on a microarray. Since preventing outbreak and progression of cancer is the ultimate goal in bioinformatics and ...