Soheyl Khalilpourazari

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Multi-item EOQ model with nonlinear unit holding cost and partial backordering: moth-flame optimization algorithm

S. Pasandideh, Soheyl Khalilpourazari, 2017 .

Designing a hybrid reinforcement learning based algorithm with application in prediction of the COVID-19 pandemic in Quebec

Hossein Hashemi Doulabi, Soheyl Khalilpourazari, Hossein Hashemi Doulabi, 2021, Ann. Oper. Res..

A robust fuzzy approach for constrained multi-product economic production quantity with imperfect items and rework process

Gerhard-Wilhelm Weber, Soheyl Khalilpourazari, Seyed Hamid Reza Pasandideh, 2019, Optimization.

Bi-objective emergency blood supply chain network design in earthquake considering earthquake magnitude: a comprehensive study with real world application

Soheyl Khalilpourazari, Alireza Arshadi Khamseh, A. Khamseh, 2019, Ann. Oper. Res..

Designing emergency flood evacuation plans using robust optimization and artificial intelligence

Soheyl Khalilpourazari, Seyed Hamid Reza Pasandideh, S. Pasandideh, 2021, Journal of Combinatorial Optimization.

An efficient hybrid algorithm based on Water Cycle and Moth-Flame Optimization algorithms for solving numerical and constrained engineering optimization problems

Soheyl Khalilpourazari, S. Khalilpourazary, 2017, Soft Computing.

Designing an efficient blood supply chain network in crisis: neural learning, optimization and case study

S. K. Roy, G. Weber, Soheyl Khalilpourazari, 2019, Annals of Operations Research.

Bi-objective emergency blood supply chain network design in earthquake considering earthquake magnitude: a comprehensive study with real world application

Soheyl Khalilpourazari, A. Arshadi khamseh, 2017, Annals of Operations Research.

Gradient-based grey wolf optimizer with Gaussian walk: Application in modelling and prediction of the COVID-19 pandemic

Hossein Hashemi Doulabi, G. Weber, Soheyl Khalilpourazari, 2021, Expert Systems with Applications.

Sine–cosine crow search algorithm: theory and applications

S. Pasandideh, Soheyl Khalilpourazari, 2019, Neural Computing and Applications.

Stochastic weekly operating room planning with an exponential number of scenarios

Soheyl Khalilpourazari, Hossein Hashemi Doulabi, 2022, Annals of Operations Research.

Robust modelling and prediction of the COVID-19 pandemic in Canada

Hossein Hashemi Doulabi, Soheyl Khalilpourazari, 2021 .

SCWOA: an efficient hybrid algorithm for parameter optimization of multi-pass milling process

Soheyl Khalilpourazari, Saman Khalilpourazary, Soheyl Khalilpourazari, 2018 .

Optimization of time, cost and surface roughness in grinding process using a robust multi-objective dragonfly algorithm

Soheyl Khalilpourazari, Saman Khalilpourazary, Soheyl Khalilpourazari, 2018, Neural Computing and Applications.

An efficient hybrid algorithm based on Water Cycle and Moth-Flame Optimization algorithms for solving numerical and constrained engineering optimization problems

Soheyl Khalilpourazari, Saman Khalilpourazary, Soheyl Khalilpourazari, 2017, Soft Computing.

A Robust Stochastic Fractal Search approach for optimization of the surface grinding process

Soheyl Khalilpourazari, Saman Khalilpourazary, Soheyl Khalilpourazari, 2018, Swarm Evol. Comput..

Robust possibilistic programming for multi-item EOQ model with defective supply batches: Whale Optimization and Water Cycle Algorithms

Soheyl Khalilpourazari, Seyed Hamid Reza Pasandideh, Ali Ghodratnama, 2019, Neural Computing and Applications.

Multi-Objective Stochastic Fractal Search: a powerful algorithm for solving complex multi-objective optimization problems

Soheyl Khalilpourazari, Bahman Naderi, Saman Khalilpourazary, 2019, Soft Computing.

Modeling and optimization of multi-item multi-constrained EOQ model for growing items

Soheyl Khalilpourazari, Seyed Hamid Reza Pasandideh, S. Pasandideh, 2019, Knowl. Based Syst..

Optimization of production time in the multi-pass milling process via a Robust Grey Wolf Optimizer

Soheyl Khalilpourazari, Saman Khalilpourazary, Soheyl Khalilpourazari, 2018, Neural Computing and Applications.

Designing energy-efficient high-precision multi-pass turning processes via robust optimization and artificial intelligence

Gerhard-Wilhelm Weber, Soheyl Khalilpourazari, Aybike Özyüksel Çiftçioğlu, 2020, Journal of Intelligent Manufacturing.

Sine–cosine crow search algorithm: theory and applications

Soheyl Khalilpourazari, Seyed Hamid Reza Pasandideh, S. Pasandideh, 2019, Neural Computing and Applications.

Sine Cosine Crow Search Algorithm: A powerful hybrid meta heuristic for global optimization pdf

Soheyl Khalilpourazari, Seyed Hamid Reza Pasandideh, S. Pasandideh, 2018, ArXiv.

Mixed robust possibilistic flexible chance constraint optimization model for emergency blood supply chain network design

Mohammad Mohammadi, Soheyl Khalilpourazari, Mohamadreza Fazli-Khalaf, 2019, Ann. Oper. Res..

A flexible robust model for blood supply chain network design problem

Soheyl Khalilpourazari, Hossein Hashemi Doulabi, 2022, Annals of operations research.

Designing an efficient blood supply chain network in crisis: neural learning, optimization and case study

Gerhard-Wilhelm Weber, Sankar Kumar Roy, Soheyl Khalilpourazari, 2020, Ann. Oper. Res..

Optimizing a multi-item economic order quantity problem with imperfect items, inspection errors, and backorders

Seyed Taghi Akhavan Niaki, Soheyl Khalilpourazari, Seyed Hamid Reza Pasandideh, 2019, Soft Comput..

Optimization of multi-product economic production quantity model with partial backordering and physical constraints: SQP, SFS, SA, and WCA

Seyed Taghi Akhavan Niaki, Soheyl Khalilpourazari, Seyed Hamid Reza Pasandideh, 2016, Appl. Soft Comput..

A lexicographic weighted Tchebycheff approach for multi-constrained multi-objective optimization of the surface grinding process

Soheyl Khalilpourazari, Saman Khalilpourazary, Soheyl Khalilpourazari, 2017 .

Optimization of time, cost and surface roughness in grinding process using a robust multi-objective dragonfly algorithm

Soheyl Khalilpourazari, S. Khalilpourazary, 2018, Neural computing & applications (Print).

Multi-Objective Stochastic Fractal Search: a powerful algorithm for solving complex multi-objective optimization problems

B. Naderi, Soheyl Khalilpourazari, S. Khalilpourazary, 2019, Soft Computing.

Using reinforcement learning to forecast the spread of COVID-19 in France

Hossein Hashemi Doulabi, Soheyl Khalilpourazari, 2021, 2021 IEEE International Conference on Autonomous Systems (ICAS).

Robust modelling and prediction of the COVID-19 pandemic in Canada

Hossein Hashemi Doulabi, Soheyl Khalilpourazari, 2021, Int. J. Prod. Res..