How Crossover Speeds Up Building-Block Assembly in Genetic Algorithms

作者: Dirk Sudholt

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摘要: … and disruptive effects on building blocks: crossover is able to … Introducing crossover changes the optimal mutation rate on … our findings apply to a broad class of building block functions. …

参考文章(45)
Frank Neumann, Madeleine Theile, How crossover speeds up evolutionary algorithms for the multi-criteria all-pairs-shortest-path problem parallel problem solving from nature. pp. 667- 676 ,(2010) , 10.1007/978-3-642-15844-5_67
Agoston E. Eiben, J. E. Smith, Introduction to evolutionary computing ,(2003)
Gabriela Ochoa, Inman Harvey, Hilary Buxton, Error Thresholds and Their Relation to Optimal Mutation Rates european conference on artificial life. pp. 54- 63 ,(1999) , 10.1007/3-540-48304-7_10
Dirk Sudholt, General lower bounds for the running time of evolutionary algorithms parallel problem solving from nature. pp. 124- 133 ,(2010) , 10.1007/978-3-642-15844-5_13
Dirk Sudholt, A New Method for Lower Bounds on the Running Time of Evolutionary Algorithms IEEE Transactions on Evolutionary Computation. ,vol. 17, pp. 418- 435 ,(2013) , 10.1109/TEVC.2012.2202241
Thomas Jansen, Kenneth A. De Jong, Ingo Wegener, On the Choice of the Offspring Population Size in Evolutionary Algorithms Evolutionary Computation. ,vol. 13, pp. 413- 440 ,(2005) , 10.1162/106365605774666921