1
TÍTULO: A comparative study of crossover operators for genetic algorithms to solve the job shop scheduling problem
AUTORES: Magalhaes Mendes, J ;
PUBLICAÇÃO: 2013, FONTE: WSEAS Transactions on Computers, VOLUME: 12, NÚMERO: 4
INDEXADO EM: Scopus
2
TÍTULO: A hybrid genetic algorithm for the multi-mode resource-constrained project scheduling
AUTORES: Magalhaes Mendes, J ;
PUBLICAÇÃO: 2012, FONTE: 6th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2012 in ECCOMAS 2012 - European Congress on Computational Methods in Applied Sciences and Engineering, e-Book Full Papers
INDEXADO EM: Scopus
3
TÍTULO: A genetic algorithm for the job shop scheduling with a new local search using Monte Carlo method
AUTORES: Magalhaes Mendes, J ;
PUBLICAÇÃO: 2011, FONTE: 10th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, AIKED'11 in Recent Researches in Artificial Intelligence, Knowledge Engineering and Data Bases - 10th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, AIKED'11
INDEXADO EM: Scopus
4
TÍTULO: A genetic algorithm for project scheduling with multi-modes and renewable resources
AUTORES: Magalhaes Mendes, J ;
PUBLICAÇÃO: 2010, FONTE: International Conference on Mathematical Models for Engineering Science, MMES'10 in International Conference on Mathematical Models for Engineering Science - Proceedings
INDEXADO EM: Scopus
5
TÍTULO: Complex scheduling problems using an optimization methodology
AUTORES: Magalhaes Mendes, J ;
PUBLICAÇÃO: 2010, FONTE: WSEAS Transactions on Information Science and Applications, VOLUME: 7, NÚMERO: 2
INDEXADO EM: Scopus