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EPS
1997
Springer
14 years 1 months ago
Investigating Parallel Genetic Algorithms on Job Shop Scheduling Problems
This paper describes a GA for job shop scheduling problems. Using the Giffler and Thompson algorithm, we created two new operators, THX crossover and mutation, which better trans...
Shyh-Chang Lin, Erik D. Goodman, William F. Punch ...
DAGM
2007
Springer
14 years 1 months ago
Efficient Learning of Neural Networks with Evolutionary Algorithms
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...
Nils T. Siebel, Jochen Krause, Gerald Sommer
RECOSOC
2007
115views Hardware» more  RECOSOC 2007»
13 years 10 months ago
Self-adaptive Security at Application Level: a Proposal
—Self-adaptive systems have the ability to adapt themselves to mutating external or internal conditions without requesting any intervention of the user; the security of such syst...
Alberto Ferrante, Antonio Vincenzo Taddeo, Mariagi...
AAAI
2000
13 years 10 months ago
Applying Learnable Evolution Model to Heat Exchanger Design
A new approach to evolutionary computation, called Learnable Evolution Model (LEM), has been applied to the problem of optimizing tube structures of heat exchangers. In contrast t...
Kenneth A. Kaufman, Ryszard S. Michalski
CEC
2010
IEEE
13 years 9 months ago
Genetic programming for Expert Systems
— Genetic programming is the usage of the paradigm of survival of the fittest in scientific computing. It is applied to evolve solutions to problems where dependencies between ...
Konrad Sickel, Joachim Hornegger