Investigating the Parameter Space of Evolutionary Algorithms
作者： Moshe Sipper , Moshe Sipper , Jason H. Moore , Weixuan Fu , Karuna Ahuja
DOI: 10.1186/S13040-018-0164-X
关键词:
摘要: Evolutionary computation (EC) has been widely applied to biological and biomedical data. The practice of EC involves the tuning many parameters, such as population size, generation count, selection crossover mutation rates. Through an extensive series experiments over multiple evolutionary algorithm implementations 25 problems we show that parameter space tends be rife with viable at least for studied herein. We discuss implications this finding in researcher employing EC.
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A. E. Eiben, S. K. Smit, Evolutionary Algorithm Parameters and Methods to Tune Them Autonomous Search. pp. 15- 36 ,(2011) , 10.1007/978-3-642-21434-9_2
Parameter Setting in Evolutionary Algorithms Springer Publishing Company, Incorporated. ,(2007) , 10.1007/978-3-540-69432-8
S. K. Smit, A. E. Eiben, Parameter tuning of evolutionary algorithms: generalist vs. specialist european conference on applications of evolutionary computation. pp. 542- 551 ,(2010) , 10.1007/978-3-642-12239-2_56
Adaptation in evolutionary computation: a survey ieee international conference on evolutionary computation. pp. 65- 69 ,(1997) , 10.1109/ICEC.1997.592270
S.K. Smit, A.E. Eiben, Comparing parameter tuning methods for evolutionary algorithms congress on evolutionary computation. pp. 399- 406 ,(2009) , 10.1109/CEC.2009.4982974
Jason H. Moore, Lance W. Hahn, Petri net modeling of high-order genetic systems using grammatical evolution. BioSystems. ,vol. 72, pp. 177- 186 ,(2003) , 10.1016/S0303-2647(03)00142-4
Xin Yao, Yong Liu, Guangming Lin, Evolutionary programming made faster IEEE Transactions on Evolutionary Computation. ,vol. 3, pp. 82- 102 ,(1999) , 10.1109/4235.771163
Marylyn D Ritchie, Bill C White, Joel S Parker, Lance W Hahn, Jason H Moore, Optimizationof neural network architecture using genetic programming improvesdetection and modeling of gene-gene interactions in studies of humandiseases BMC Bioinformatics. ,vol. 4, pp. 28- 28 ,(2003) , 10.1186/1471-2105-4-28
Jason H. Moore, Nate Barney, Chia-Ti Tsai, Fu-Tien Chiang, Jiang Gui, Bill C. White, Symbolic Modeling of Epistasis Human Heredity. ,vol. 63, pp. 120- 133 ,(2007) , 10.1159/000099184
Andrea Arcuri, Gordon Fraser, Parameter tuning or default values? An empirical investigation in search-based software engineering Empirical Software Engineering. ,vol. 18, pp. 594- 623 ,(2013) , 10.1007/S10664-013-9249-9