A general cost-benefit-based adaptation framework for multimeme algorithms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,General Computer Science
Link
http://link.springer.com/content/pdf/10.1007/s12293-010-0040-9.pdf
Reference58 articles.
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3. Bader-El-Den M, Poli R, Fatima S (2009) Evolving timetabling heuristics using a grammar-based genetic programming hyper-heuristic framework. J Memet Comput 1(3): 205–219
4. Bäck T (1992) GENEsYs 1.0. http://www.cs.cmu.edu/afs/cs/project/ai-repository/ai/areas/genetic/ga/systems/genesys/0.html . Accessed 11 Aug 2009
5. Bambha NK, Bhattacharyya SS, Zitzler E, Teich J (2004) Systematic integration of parameterized local search into evolutionary algorithms. IEEE Trans Evolut Comput 8(2): 137–155
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