2009
DOI: 10.1016/j.eswa.2009.04.023
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A novel ACO–GA hybrid algorithm for feature selection in protein function prediction

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Cited by 188 publications
(70 citation statements)
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“…1) is an improvement of the approach proposed by Nemati et al [55] where our idea is to replace genetic algorithms (GA) by PSO.…”
Section: Aco-pso1 Approachmentioning
confidence: 99%
See 1 more Smart Citation
“…1) is an improvement of the approach proposed by Nemati et al [55] where our idea is to replace genetic algorithms (GA) by PSO.…”
Section: Aco-pso1 Approachmentioning
confidence: 99%
“…In [55], the authors present a hybrid feature selection algorithm based on ACO and GA hybridization. ACO offers a critical advantage of local searching, not found in GA. On the other hand, GA considers a global perspective by operating on the complete population from the very beginning.…”
Section: Aco-pso1 Approachmentioning
confidence: 99%
“…The attributes that heads the list are selected as the best candidate attributes. Shahla et al [41] worked on the combination of two major algorithms namely genetic algorithm and ant colony optimization. This hybrid algorithm yielded better result in terms of searching speed and selection of essential features.…”
Section: International Journal Of Applied Information Systems (Ijais)mentioning
confidence: 99%
“…In addition to the aforementioned applications, GA continues to attract researchers to combine it with others techniques to improve the efficiency of feature selection in various ways (Shahla et al, 2009;Yang et al, 2011). Gheyas and Smith (2010) have improved a version of GA that tackles feature selection problem.…”
Section: Fitness Functionmentioning
confidence: 99%
“…As a hybrid approach for feature selection (Shahla et al, 2009), GA was investigated by Cantu-Paz (2004), in which GA and a method based on class separability applied to the selection of feature subsets for classification problems. This approach is able to find compact feature subsets that give the most accurate results, while beating the execution time of some wrappers.…”
Section: Fitness Functionmentioning
confidence: 99%