ACE: A Workbench Using Evolutionary Genetic Algorithms for Analyzing Association in TCGA

Cancer Research ◽

10.1158/0008-5472.can-18-1976 ◽

2019 ◽

Vol 79 (8) ◽

pp. 2072-2075 ◽

Author(s):

Alan R. Gilmore ◽

Matthew Alderdice ◽

Kienan I. Savage ◽

Paul G. O'Reilly ◽

Aideen C. Roddy ◽

...

Keyword(s):

Genetic Algorithms ◽

Evolutionary Genetic

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Extension of Reactive Scheduling Method Using Co-Evolutionary Genetic Algorithms (Application to Open Shop Scheduling Problems and Experimental Evaluation)

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C ◽

10.1299/kikaic.79.2207 ◽

2013 ◽

Vol 79 (802) ◽

pp. 2207-2220 ◽

Author(s):

Yoshitaka TANIMIZU ◽

Yusuke KOMATSU ◽

Chisato OZAWA ◽

Koji IWAMURA ◽

Nobuhiro SUGIMURA

Keyword(s):

Genetic Algorithms ◽

Experimental Evaluation ◽

Open Shop ◽

Reactive Scheduling ◽

Scheduling Problems ◽

Open Shop Scheduling ◽

Shop Scheduling ◽

Evolutionary Genetic ◽

Scheduling Method

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Co-Operative Co-Evolutionary Genetic Algorithms for Multi-Objective Topology Design

Computer-Aided Design and Applications ◽

10.1080/16864360.2005.10738398 ◽

2005 ◽

Vol 2 (1-4) ◽

pp. 487-496 ◽

Author(s):

Kuntinee Maneeratana ◽

Kittipong Boonlong ◽

Nachol Chaiyaratana

Keyword(s):

Genetic Algorithms ◽

Topology Design ◽

Multi Objective ◽

Evolutionary Genetic

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Optimization of Multi-level Inventory of Random Demand Based on Co-evolutionary Genetic Algorithms

2012 International Conference on Industrial Control and Electronics Engineering ◽

10.1109/icicee.2012.534 ◽

2012 ◽

Author(s):

Niu Guo-Xiang ◽

Ruan Yong-Jun ◽

Wang Le-Qing ◽

Wei Wei

Keyword(s):

Genetic Algorithms ◽

Random Demand ◽

Evolutionary Genetic ◽

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Evaluation of a diesel engine optimized by non-evolutionary NLPQL and evolutionary genetic algorithms and assessing second law efficiency: Analysis in exergy loss and chemical exergy

Applied Thermal Engineering ◽

10.1016/j.applthermaleng.2019.113794 ◽

2019 ◽

Vol 159 ◽

pp. 113794 ◽

Author(s):

Ali Navid ◽

Shahram Khalilarya

Keyword(s):

Genetic Algorithms ◽

Diesel Engine ◽

Efficiency Analysis ◽

Exergy Loss ◽

Evolutionary Genetic ◽

Chemical Exergy

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New Evolutionary Genetic Algorithms for Combinatorial Optimization Problems

Operations Research ’92 ◽

10.1007/978-3-662-12629-5_37 ◽

1993 ◽

pp. 132-134

Author(s):

Do Thi Loan ◽

Fam Quang Bac

Keyword(s):

Genetic Algorithms ◽

Combinatorial Optimization ◽

Optimization Problems ◽

Combinatorial Optimization Problems ◽

Evolutionary Genetic

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Research of Improved Cooperative Co-Evolutionary Genetic Algorithms

International Conference on Mechanical Engineering and Technology (ICMET-London 2011) ◽

10.1115/1.859896.paper119 ◽

2011 ◽

pp. 595-598

Keyword(s):

Genetic Algorithms ◽

Evolutionary Genetic

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Evaluation of Strategies for Co-Evolutionary Genetic Algorithms: dLCGA Case Study

Intelligent Engineering Systems through Artificial Neural Networks, Volume 16 ◽

10.1115/1.802566.paper15 ◽

2006 ◽

pp. 91-96

Keyword(s):

Genetic Algorithms ◽

Evolutionary Genetic

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3363 Extension of a Reactive Scheduling Method Using Co-evolutionary Genetic Algorithms under Precedence Constraints

Proceedings of International Conference on Leading Edge Manufacturing in 21st century LEM21 ◽

10.1299/jsmelem.2011.6._3363-1_ ◽

2011 ◽

Vol 2011.6 (0) ◽

pp. _3363-1_-_3363-6_

Author(s):

Yoshitaka TANIMIZU ◽

Sosuke UCHINO ◽

Koji IWAMURA ◽

Nobuhiro SUGIMURA

Keyword(s):

Genetic Algorithms ◽

Precedence Constraints ◽

Reactive Scheduling ◽

Evolutionary Genetic ◽

Scheduling Method

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Evaluate the fuzzy completion times in the fuzzy flow shop scheduling problems using the virus-evolutionary genetic algorithms

Applied Soft Computing ◽

10.1016/j.asoc.2011.08.012 ◽

2011 ◽

Vol 11 (8) ◽

pp. 4540-4550 ◽

Author(s):

Peng-Jen Lai ◽

Hsien-Chung Wu

Keyword(s):

Genetic Algorithms ◽

Flow Shop ◽

Flow Shop Scheduling ◽

Scheduling Problems ◽

Shop Scheduling ◽

Evolutionary Genetic ◽

Completion Times

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AN OPTIMAL SILVICULTURAL REGIME MODEL USING COMPETITIVE CO-EVOLUTIONARY GENETIC ALGORITHMS

Proceedings of the International Joint Conference on Computational Intelligence ◽

10.5220/0002314202090217 ◽

2009 ◽

Keyword(s):

Genetic Algorithms ◽

Evolutionary Genetic

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