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ORCIDMosahar Tarimoradi
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2010 – 2019
- 2018
[j5]M. H. Alavidoost, Mosahar Tarimoradi
, M. H. Fazel Zarandi:
Bi-objective mixed-integer nonlinear programming for multi-commodity tri-echelon supply chain networks. J. Intell. Manuf. 29(4): 809-826 (2018)- 2017
- [j4]M. H. Alavidoost, M. H. Fazel Zarandi, Mosahar Tarimoradi, Yaser Nemati:
Modified genetic algorithm for simple straight and U-shaped assembly line balancing with fuzzy processing times. J. Intell. Manuf. 28(2): 313-336 (2017) - [j3]Mosahar Tarimoradi, M. H. Fazel Zarandi, Hosain Zaman, I. B. Turksan:
Evolutionary fuzzy intelligent system for multi-objective supply chain network designs: an agent-based optimization state of the art. J. Intell. Manuf. 28(7): 1551-1579 (2017) - 2015
- [j2]M. H. Alavidoost, Mosahar Tarimoradi, M. H. Fazel Zarandi:
Fuzzy adaptive genetic algorithm for multi-objective assembly line balancing problems. Appl. Soft Comput. 34: 655-677 (2015) - [j1]Mosahar Tarimoradi, M. H. Alavidoost, M. H. Fazel Zarandi:
Comparative Corrigendum note on papers "Fuzzy adaptive GA for multi-objective assembly line balancing" continued "Modified GA for different types of assembly line balancing with fuzzy processing times": differences and similarities [Appl. Soft Comput. (September 2015) 655-677]. 786-788. Appl. Soft Comput. 35: 151-160 (2015) - [c4]Behnoush Shakeri, M. H. Fazel Zarandi, Mosahar Tarimoradi, I. B. Turksan:
Fuzzy clustering rule-based expert system for stock price movement prediction. NAFIPS/WConSC 2015: 1-6 - [c3]M. H. Fazel Zarandi, Mosahar Tarimoradi, M. H. Alavidoost, Mohsen Akbarpour Shirazi:
Fuzzy Comparison Dashboard for multi-objective evolutionary applications: An implementation in supply chain planning. NAFIPS/WConSC 2015: 1-6 - [c2]M. H. Fazel Zarandi, Mosahar Tarimoradi, M. H. Alavidoost, Behnoush Shakeri:
Fuzzy approximate reasoning toward Multi-Objective optimization policy: Deployment for supply chain programming. NAFIPS/WConSC 2015: 1-6 - [c1]M. H. Fazel Zarandi, Mosahar Tarimoradi, Mohsen Akbarpour Shirazi, I. B. Turksan:
Fuzzy intelligent agent-based expert system to keep Information Systems aligned with the strategy plans: A novel approach toward SISP. NAFIPS/WConSC 2015: 1-5
Coauthor Index
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