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Journal of the Operational Research Society Volume 64, 2013 - Issue 9
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General Paper

Solving resource-constrained project scheduling problem with evolutionary programming

M H SebtAmirkabir University of TechnologyTehranIranCorrespondence[email protected]
,
Y AlipouriAmirkabir University of TechnologyTehranIran
&
Y AlipouriUniversity of Science and TechnologyTehranIran
Pages 1327-1335 | Received 01 May 2011, Accepted 01 Apr 2012, Published online: 21 Dec 2017

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Read on this site (2)

Richard Ormerod. (2021) The fitness and survival of the OR profession in the age of artificial intelligence. Journal of the Operational Research Society 72:1, pages 4-22.
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Yagub Alipouri, Mohammad Hassan Sebt, Abdollah Ardeshir & Weng Tat Chan. (2019) Solving the FS-RCPSP with hyper-heuristics: A policy-driven approach. Journal of the Operational Research Society 70:3, pages 403-419.
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Articles from other publishers (11)

Yaghoub Alipouri. (2021) A resource flow-based branch-and-bound algorithm to solve fuzzy stochastic resource-constrained project scheduling problem. Soft Computing 25:22, pages 14315-14331.
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Luis F. Machado-Domínguez, Carlos D. Paternina-Arboleda, Jorge I. Vélez & Agustin Barrios-Sarmiento. (2021) A memetic algorithm to address the multi-node resource-constrained project scheduling problem. Journal of Scheduling 24:4, pages 413-429.
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Yagub Alipouri, Mohammad Hassan Sebt, Abdollah Ardeshir & Mohammad Hossein Fazel Zarandi. (2017) A mixed-integer linear programming model for solving fuzzy stochastic resource constrained project scheduling problem. Operational Research 20:1, pages 197-217.
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Robert Pellerin, Nathalie Perrier & François Berthaut. (2020) A survey of hybrid metaheuristics for the resource-constrained project scheduling problem. European Journal of Operational Research 280:2, pages 395-416.
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Ewa Ratajczak-Ropel & Aleksander SkakovskiEwa Ratajczak-Ropel. 2018. Population-Based Approaches to the Resource-Constrained and Discrete-Continuous Scheduling. Population-Based Approaches to the Resource-Constrained and Discrete-Continuous Scheduling 33 67 .
Hongying Fei, Qian Li & Dan Sun. (2017) A Survey of Recent Research on Optimization Models and Algorithms for Operations Management from the Process View. Scientific Programming 2017, pages 1-19.
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Shahriar Asta, Daniel Karapetyan, Ahmed Kheiri, Ender Özcan & Andrew J. Parkes. (2016) Combining Monte-Carlo and hyper-heuristic methods for the multi-mode resource-constrained multi-project scheduling problem. Information Sciences 373, pages 476-498.
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Jinwei Pang, Hongbin Dong, Jun He & Qi Feng. (2016) Mixed mutation strategy evolutionary programming based on Shapley value. Mixed mutation strategy evolutionary programming based on Shapley value.
Michael A. Chilton. 2015. Modern Techniques for Successful IT Project Management. Modern Techniques for Successful IT Project Management 1 20 .
Zheng Zheng, Ze Guo, Yueni Zhu & Xiaoyi Zhang. (2014) A critical chains based distributed multi-project scheduling approach. Neurocomputing 143, pages 282-293.
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Yousef Alipouri, Saeed Ahmadizadeh, Hamid Reza Karimi, S. Vahid Naghavi & Ahad Soltani Sarvestani. (2013) Improving Performance of Evolutionary Algorithms with Application to Fuzzy Control of Truck Backer-Upper System. Mathematical Problems in Engineering 2013, pages 1-9.
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