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Memetic Algorithms and Evolutionary Computation
The following sources are recommended by a professor whose research specialty is computational complexity.

Six Superlative Sources

· Memetic Algorithms' Home Page. http://www.densis.fee.unicamp.br/~moscato/memetic_home.html

· MAFRA: a Java Memetic Algorithms Framework, Natalio Krasnogor and Jim Smith. http://citeseer.ist.psu.edu/krasnogor00mafra.html

· New Ideas in Optimization, D. Corne, F. Glover, and M. Dorigo (editors), McGraw-Hill, 1999. This source contains five chapters in Memetic Algorithms as well as other techniques which are also of the same type under different names.

· Handbook of Applied Optimization, Panos Pardalos and Mauricio Resende (editors), Oxford University Press, 2000.

· An Introduction to Population Approaches for Optimization and Hierarchical Objective Functions: A Discussion on the Role of Tabu Search, P. Moscato, in Annals of Operations Research, Vol. 41, Number 1-4, pp. 85-121, 1993.

· On Evolution, Search, Optimization, Genetic Algorithms and Martial Arts: Towards Memetic Algorithms, P. Moscato, Caltech Concurrent Computation Program, C3P Report 826, 1989.

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