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Natural Intelligence for Scheduling, Planning and Packing Problems
Mansour Eddaly, Bassem Jarboui, Patrick Siarry and Abdelwaheb Rebaï Studies in Computational Intelligence, Natural Intelligence for Scheduling, Planning and Packing Problems 250 89 (2009) https://doi.org/10.1007/978-3-642-04039-9_4
A particle swarm optimization for multi-objective flowshop scheduling
Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization
Donald Davendra and Godfrey Onwubolu Studies in Computational Intelligence, Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization 175 35 (2009) https://doi.org/10.1007/978-3-540-92151-6_3
An effective hybrid DE-based algorithm for multi-objective flow shop scheduling with limited buffers
A hybrid discrete particle swarm optimization algorithm for the no-wait flow shop scheduling problem with makespan criterion
Quan-Ke Pan, Ling Wang, M. Fatih Tasgetiren and Bao-Hua Zhao The International Journal of Advanced Manufacturing Technology 38(3-4) 337 (2008) https://doi.org/10.1007/s00170-007-1099-4
A novel multi-objective particle swarm optimization algorithm for no-wait flow shop scheduling problems
Q-K Pan, L Wang and Qian B Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 222(4) 519 (2008) https://doi.org/10.1243/09544054JEM989
Simple heuristics for scheduling with limited intermediate storage
Intelligent Computing in Signal Processing and Pattern Recognition
Bin Qian, Ling Wang, De-Xian Huang and Xiong Wang Lecture Notes in Control and Information Sciences, Intelligent Computing in Signal Processing and Pattern Recognition 345 1125 (2006) https://doi.org/10.1007/978-3-540-37258-5_146
Stochastic optimization using simulated annealing with hypothesis test
Kang Hu, Jinshu Li, Jing Liu and Licheng Jiao Lecture Notes in Computer Science, AI 2006: Advances in Artificial Intelligence 4304 917 (2006) https://doi.org/10.1007/11941439_98
An adaptive genetic algorithm with multiple operators for flowshop scheduling
Liang Zhang, Ling Wang and Da-Zhong Zheng The International Journal of Advanced Manufacturing Technology 27(5-6) 580 (2006) https://doi.org/10.1007/s00170-004-2223-3
A local search method for permutation flow shop scheduling
G. Prabhaharan, B. Shahul Hamid Khan and L. Rakesh The International Journal of Advanced Manufacturing Technology 30(11-12) 1126 (2006) https://doi.org/10.1007/s00170-005-0134-6
A class of hypothesis-test-based genetic algorithms for flow shop scheduling with stochastic processing time
Genetic ordinal optimisation for stochastic flow shop scheduling
Ling Wang, Liang Zhang and Da-Zhong Zheng The International Journal of Advanced Manufacturing Technology 27(1-2) 166 (2005) https://doi.org/10.1007/s00170-004-2154-z
Advances in Natural Computation
K. Rameshkumar, R. K. Suresh and K. M. Mohanasundaram Lecture Notes in Computer Science, Advances in Natural Computation 3612 572 (2005) https://doi.org/10.1007/11539902_70
A Branch-and-Bound procedure to minimize total tardiness on one machine with arbitrary release dates
José Francisco Ferreira Ribeiro, Cassilda Maria Ribeiro and Marcio Mattos Borges de Oliveira IFAC Proceedings Volumes 30(19) 321 (1997) https://doi.org/10.1016/S1474-6670(17)42319-6
Programação de operações com restrições disjuntivas