Ranking and comparing evolutionary algorithms with Hellinger-TOPSIS

Ranking and comparing evolutionary algorithms with Hellinger-TOPSISژورنال: Applied Soft Computing سال: December 2015 قیمت اصلی:35.95$ AbstractWhen multiple algorithms are applied to multiple benchmarks as it is common in evolutionary computation, a typical issue rises, how can we rank the algorithms? It is a common practice in evolutionary computation to execute the algorithms several times and then the mean value and the standard deviation are calculated. In order to compare the algorith ...

Correlation ranking procedure for factor selection in PC-ANN modeling and application to aqueous Solubility evaluation

نویسند‌گان: A. Najafi ، S. Sobhan Ardakani
خلاصه مقاله:
A correlation ranking procedure is proposed for selection of factors in principal component-artificial neural network (PC-ANN). The model was applied in the aqueous Solubility (-logS) evaluation of diverse Organic molecules. Experimental values for the observed -logS values for organic molecules can range from about -0.380 (oxalic acid) to 10.410 (2,2',3,3',4,5,5',6,6'-PCB) -log units. Ten different Sh indices were calculated for each mol ...