Lamarckian and Lifelong Memetic Search in Agent-Based Computing

Author:

Korczynski Wojciech,Kisiel-Dorohinicki Marek,Byrski Aleksander

Publisher

Springer International Publishing

Reference29 articles.

1. Droste, S., Jansen, T., Wegener, I.: Upper and lower bounds for randomized search heuristics in black-box optimization. Theory Comput. Syst. 39, 525–544 (2006)

2. Michalewicz, Z.: Genetic Algorithms Plus Data Structures Equals Evolution Programs. Springer-Verlag New York, Inc., Secaucus (1994)

3. Moscato, P.: On evolution, search, optimization, genetic algorithms and martial arts: towards memetic algorithms. Technical report Caltech Concurrent Computation Program, Report. 826, California Institute of Technology, Pasadena, California, USA (1989)

4. Eldridge, N., Gould, S.: Punctuated equilibria: an alternative to phyletic gradualism. In: Schopf, T. (ed.) Models in Paleobiology. Freeman, Cooper and Co., San Francisco (1972)

5. Hinton, G., Nolan, S.: How learning can guide evolution. Complex Syst. 1, 495–502 (1987)

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