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Bi-objective mathematical model and improved algorithm for optimisation of welding shop scheduling problem

Rao, Yunqing; Meng, Ronghua; Zha, Jing; Xu, Xiaofei - In: International journal of production research 58 (2020) 9, pp. 2767-2783

Persistent link: https://www.econbiz.de/10012265270

Improved particle swarm optimization algorithm based novel encoding and decoding schemes for flexible job shop scheduling problem

Ding, Haojie; Gu, Xingsheng - In: Computers & operations research : and their … 121 (2020), pp. 1-15

Persistent link: https://www.econbiz.de/10012271945

Bi-objective optimization algorithms for joint production and maintenance scheduling under a global resource constraint : application to the permutation flow shop problem

Boufellouh, Radhwane; Belkaid, Fayçal - In: Computers & operations research : and their … 122 (2020), pp. 1-25

Persistent link: https://www.econbiz.de/10012271973

A mathematical model and NSGA-II algorithm for bi-objective grid scheduling problem with quality of service satisfaction

Kianfar, Kamran; Barafkandeh, Shayan - In: International journal of services and operations … 36 (2020) 4, pp. 531-557

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An evolutionary approach for resource constrained project scheduling with uncertain changes

Zaman, Forhad; Elsayed, Saber; Sarker, Ruhul; Essam, Daryl - In: Computers & operations research : and their … 125 (2021), pp. 1-16

Persistent link: https://www.econbiz.de/10012390363

A simheuristic approach for evolving agent behaviour in the exploration for novel combat tactics

Lam, Chiou-Peng; Masek, Martin; Kelly, Luke; … - In: Operations research perspectives 6 (2019), pp. 1-13

The automatic generation of behavioural models for intelligent agents in military simulation and experimentation remains a challenge. Genetic Algorithms are a global optimization approach which is suitable for addressing complex problems where locating the global optimum is a difficult task....

Persistent link: https://www.econbiz.de/10012129907

The use of frontier techniques to identify efficient solutions for the Berth Allocation Problem solved with a hybrid evolutionary algorithm

Barbosa, Flávia; Rampazzo, Priscila C. Berbert; … - In: Computers & operations research : and their … 107 (2019), pp. 43-60

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A control strategy of ES system based on short term wind-PV power prediction

Ji, Huizheng; Niu, Dongxiao; Wu, Han; Wu, Meiqiong; Li, … - In: International journal of technology, policy and … 19 (2019) 4, pp. 329-351

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An improved particle swarm optimization algorithm to solve hybrid flowshop scheduling problems with the effect of human factors : a case study

Marichelvam, M. K.; Geetha, M.; Tosun, Ömür - In: Computers & operations research : and their … 114 (2020), pp. 1-9

Persistent link: https://www.econbiz.de/10012146657

Solution algorithms for minimizing the total tardiness with budgeted processing time uncertainty

Silva, Marco; Poss, Michael; Maculan F., Nelson - In: European journal of operational research : EJOR 283 (2020) 1, pp. 70-82

Persistent link: https://www.econbiz.de/10012161923