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Behrooz Ghasemishabankareh
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Citata da
Citata da
Anno
A novel hybrid meta-heuristic algorithm for solving multi objective flexible job shop scheduling
N Shahsavari-Pour, B Ghasemishabankareh
Journal of Manufacturing Systems 32 (4), 771-780, 2013
1042013
Cooperative coevolutionary differential evolution with improved augmented Lagrangian to solve constrained optimisation problems
B Ghasemishabankareh, X Li, M Ozlen
Information Sciences 369, 441-456, 2016
472016
A genetic algorithm with local search for solving single-source single-sink nonlinear non-convex minimum cost flow problems
B Ghasemishabankareh, M Ozlen, X Li, K Deb
Soft Computing 24 (2), 1153-1169, 2020
112020
A hybrid imperialist competitive algorithm for the flexible job shop problem
B Ghasemishabankareh, N Shahsavari-Pour, MA Basiri, X Li
Artificial Life and Computational Intelligence: Second Australasian …, 2016
92016
Managing the risk of supply chain bankruptcy in supply chain network redesign
H Jahani, F Alavifard, D Ivanov, B Ghasemishabankareh
IFAC-PapersOnLine 52 (13), 2431-2436, 2019
72019
A probabilistic tree-based representation for non-convex minimum cost flow problems
B Ghasemishabankareh, M Ozlen, F Neumann, X Li
Parallel Problem Solving from Nature–PPSN XV: 15th International Conference …, 2018
62018
NSGA-II for solving multiobjective integer minimum cost flow problem with probabilistic tree-based representation
B Ghasemishabankareh, M Ozlen, X Li
Evolutionary Multi-Criterion Optimization: 10th International Conference …, 2019
52019
Probabilistic tree-based representation for solving minimum cost integer flow problems with nonlinear non-convex cost functions
B Ghasemishabankareh, X Li, M Ozlen, F Neumann
Applied Soft Computing 86, 105951, 2020
32020
Meta-Heuristics for better constraint handling and minimum cost flow problems
B Ghasemishabankareh
RMIT University, 2020
22020
User-Preference Based Evolutionary Algorithms for Solving Multi-Objective Nonlinear Minimum Cost Flow Problems
B Ghasemishabankareh, X Li, M Ozlen
Proceedings of the Genetic and Evolutionary Computation Conference, 502-510, 2024
2024
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