Similar Search Results

A modified teaching-learning-based optimisation algorithm for bi-objective re-entrant hybrid flowshop scheduling

Shen, Jing-nan; Wang, Ling; Zheng, Huan-yu - In: International journal of production research 54 (2016) 11/12, pp. 3622-3639

Persistent link: https://www.econbiz.de/10011497622

Solving no-wait two-stage flexible flow shop scheduling problem with unrelated parallel machines and rework time by the adjusted discrete Multi Objective Invasive Weed Optimization and fuzzy dominance approach

Jafarzadeh, Hassan; Moradinasab, Nazanin; Gerami, Ali - In: Journal of industrial engineering and management : JIEM 10 (2017) 5, pp. 887-918

Purpose: Adjusted discrete Multi-Objective Invasive Weed Optimization (DMOIWO) algorithm, which uses fuzzy dominant … the quality indicator for beater performance of the algorithm. Findings: The results of this algorithm have been compared … with those of conventional, multi-objective algorithms to show the better performance of the proposed algorithm. The …

Persistent link: https://www.econbiz.de/10011920773

Multiobjective discrete artificial bee colony algorithm for multiobjective permutation flow shop scheduling problem with sequence dependent setup times

Li, Xiangtao; Ma, Shijing - In: IEEE transactions on engineering management : EM 64 (2017) 2, pp. 149-165

Persistent link: https://www.econbiz.de/10011675779

A branch and bound algorithm for scheduling unit size jobs on parallel batching machines to minimize makespan

Ozturk, Onur; Begen, Mehmet A.; Zaric, Gregory S. - In: International journal of production research 55 (2017) 5/6, pp. 1815-1831

Persistent link: https://www.econbiz.de/10011628422

A meta-heuristic approach for solving the no-wait flow-shop problem

Samarghandi, Hamed; ElMekkawy, Tarek Y. - In: International journal of production research 50 (2012) 24, pp. 7313-7326

Persistent link: https://www.econbiz.de/10010219778

Multi-objective biased randomised iterated greedy for robust permutation flow shop scheduling problem under disturbances

Al-Behadili, Mohanad; Ouelhadj, Djamila; Jones, Dylan - In: Journal of the Operational Research Society 71 (2020) 11, pp. 1847-1859

Persistent link: https://www.econbiz.de/10012314388

Metaheuristics with restart and learning mechanisms for the no-idle flowshop scheduling problem with makespan criterion

Öztop, Hande; Tasgetiren, M. Fatih; Kandiller, Levent; … - In: Computers & operations research : and their … 138 (2022), pp. 1-20

Persistent link: https://www.econbiz.de/10013040961

A simplified swarm optimization algorithm to minimize makespan on non-identical parallel machines with unequal job release times under non-renewable resource constraints

Chen, Jianfu; Li, Kai; Chu, Chengbin; Sahli, Abderrahim - In: Operational research : an international journal 24 (2024) 2, pp. 1-27

Persistent link: https://www.econbiz.de/10015135100

The two-machine flowshop scheduling problem with sequence-independent setup times : new lower bounding strategies

Gharbi, Anis; Ladhari, Talel; Msakni, Mohamed Kais; … - In: European journal of operational research : EJOR 231 (2013) 1, pp. 69-78

Persistent link: https://www.econbiz.de/10009784728

Machine scheduling in the presence of sequence-dependent setup times and a rate-modifying activity

Iranpoor, Mehdi; Fatemi Ghomi, S. M. T.; Zandieh, M. - In: International journal of production research 50 (2012) 24, pp. 7401-7414

Persistent link: https://www.econbiz.de/10010219782