System for hybridized efficient genetic algorithms to solve...

Details System for hybridized efficient genetic algorithms to solve... System for hybridized efficient genetic algorithms to solve...

2008-05-30

2011-10-18

Gaffin, Jeffrey A (Department: 2129)

Data processing: artificial intelligence

Machine learning

Genetic algorithm and genetic programming system

Reexamination Certificate

active

08041654

ABSTRACT:
A system and methods are presented for the generation of hybridized efficient genetic algorithms (EGAS) applied to bi-objective optimization problems. Applications are made to engineering systems involving collective behaviors, including network computing, robotics and evolvable hardware.

REFERENCES:
patent: 6148274 (2000-11-01), Watanabe et al.
patent: 2006/0080268 (2006-04-01), Afeyan et al.
Zhang et al. “Evolutionary Algorithm with Guided Mutation for Maximum Clique Problem”, IEEE Transaction on Evolutionary Computation, 2005, pp. 192-200.
Yang et al. “Integrating adaptive mutations and family competition into genetic algorithms as function optimizer”, Soft Computing 4, 2000, pp. 89-102.

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