Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Reference47 articles.
1. Ali, A. F., & Tawhid, M. A. (2015). Hybrid particle swarm optimization with a modified arithmetical crossover for solving unconstrained optimization problems. INFOR: Information Systems and Operational Research, 53(3), 125–141.
2. Ali, A. F., & Tawhid, M. A. (2016). Hybrid simulated annealing and pattern search method for solving minimax and integer programming problems. Pacific Journal of Optimization, 12(1), 151–184.
3. Asadzadeh, L. (2015). A local search genetic algorithm for the job shop scheduling problem with intelligent agents. Computers& Industrial Engineering, 85, 376–383.
4. Asadzadeh, L., & Zamanifar, K. (2010). An agent-based parallel approach for the job shop scheduling problem with genetic algorithms. Mathematical and Computer Modelling, 52(11–12), 1957–1965.
5. Balande, U., & Shrimankar, D. (2020). A modified teaching learning metaheuristic algorithm with opposite-based learning for permutation flow-shop scheduling problem. Evolutionary Intelligence, 1–23.
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