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10.1007/s11042-020-10139-6 http://scihub22266oqcxt.onion/10.1007/s11042-020-10139-6 33162782!7599983!33162782     free     free     free       Multimed+Tools+Appl 2021 ; 80 (5): 8091-8126 Nephropedia Template TP {{tp|p=33162782|t=2021. A review on genetic algorithm: past, present, and future |pdf=|usr=}}{{33162782}} gab.com Text A review on genetic algorithm: past, present, and future JO: Multimed Tools Appl http://www.kidney.de/pget.php?&tw=1&pmid=33162782 #FOAvip In this paper, the analysis of recent advances in genetic algorithms is discussed. The genetic algorithms of great interest in research community are selected for analysis. This review will help the new and demanding researchers to provide the wider vision of genetic algorithms. The well-known algorithms and their implementation are presented with their pros and cons. The genetic operators and their usages are discussed with the aim of facilitating new researchers. The different research domains involved in genetic algorithms are covered. The future research directions in the area of genetic operators, fitness function and hybrid algorithms are discussed. This structured review will be helpful for research and graduate teaching. Twit Text FOAVip A review on genetic algorithm: past, present, and future ????Multimed Tools Appl http://www.kidney.de/pget.php?&tw=1&pmid=33162782 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33162782 #FOAvip English Wikipedia <ref>{{Cite pmid|33162782}}</ref> A review on genetic algorithm: past, present, and future #MMPMID33162782 Katoch S; Chauhan SS; Kumar V Multimed Tools Appl 2021[]; 80 (5): 8091-8126 PMID33162782show ga In this paper, the analysis of recent advances in genetic algorithms is discussed. The genetic algorithms of great interest in research community are selected for analysis. This review will help the new and demanding researchers to provide the wider vision of genetic algorithms. The well-known algorithms and their implementation are presented with their pros and cons. The genetic operators and their usages are discussed with the aim of facilitating new researchers. The different research domains involved in genetic algorithms are covered. The future research directions in the area of genetic operators, fitness function and hybrid algorithms are discussed. This structured review will be helpful for research and graduate teaching. ?A review on genetic algorithm: past, present, and future (epmc).pdf DeepDyve Pubget Overpricing