1
TITLE: A comparative study of crossover operators for genetic algorithms to solve the job shop scheduling problem
AUTHORS: Magalhaes Mendes, J ;
PUBLISHED: 2013, SOURCE: WSEAS Transactions on Computers, VOLUME: 12, ISSUE: 4
INDEXED IN: Scopus
2
TITLE: A hybrid genetic algorithm for the multi-mode resource-constrained project scheduling
AUTHORS: Magalhaes Mendes, J ;
PUBLISHED: 2012, SOURCE: 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
INDEXED IN: Scopus
3
TITLE: A genetic algorithm for the job shop scheduling with a new local search using Monte Carlo method
AUTHORS: Magalhaes Mendes, J ;
PUBLISHED: 2011, SOURCE: 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
INDEXED IN: Scopus
4
TITLE: A genetic algorithm for project scheduling with multi-modes and renewable resources
AUTHORS: Magalhaes Mendes, J ;
PUBLISHED: 2010, SOURCE: International Conference on Mathematical Models for Engineering Science, MMES'10 in International Conference on Mathematical Models for Engineering Science - Proceedings
INDEXED IN: Scopus
5
TITLE: Complex scheduling problems using an optimization methodology
AUTHORS: Magalhaes Mendes, J ;
PUBLISHED: 2010, SOURCE: WSEAS Transactions on Information Science and Applications, VOLUME: 7, ISSUE: 2
INDEXED IN: Scopus