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IJCNN
2006
IEEE
13 years 10 months ago
Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach
— Job-shop scheduling is one of the most difficult production scheduling problems in industry. This paper proposes an adaptive neural network and local search hybrid approach fo...
Shengxiang Yang
AIPS
2008
13 years 6 months ago
A New Hybrid Genetic Algorithm for the Job Shop Scheduling Problem with Setup Times
In this paper we face the Job Shop Scheduling Problem with Sequence Dependent Setup Times by means of a genetic algorithm hybridized with local search. We have built on a previous...
Miguel A. González, Camino R. Vela, Ramiro ...
IEAAIE
1998
Springer
13 years 8 months ago
Soft Computing and Hybrid AI Approaches to Intelligent Manufacturing
The application of pattern recognition (PR) techniques, artificial neural networks (ANNs), and nowadays hybrid artificial intelligence (AI) techniques in manufacturing can be regar...
Laszlo Monostori, József Hornyák, Cs...
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
13 years 9 months ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano