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Solving a multiobjective professional timetabling problem using evolutionary algorithms at Mandarine Academy

Hafsa, Mounir; Wattebled, Pamela; Jacques, Julie; … - In: International transactions in operational research : a … 32 (2025) 1, pp. 244-269

Persistent link: https://www.econbiz.de/10014637150

Towards sustainable scheduling of unrelated parallel batch processors : a multiobjective approach with triple bottom line, classical and data-driven robust optimization

Fallahi, Ali; Bani, Erfan Amani; Varmazyar, Mohsen - In: Computers & operations research : an international journal 173 (2025), pp. 1-24

Persistent link: https://www.econbiz.de/10015100982

A reference set based many-objective co-evolutionary algorithm with an application to the knapsack problem

Sahinkoc, H. Mert; Bilge, Ümit - In: European journal of operational research : EJOR 300 (2022) 2, pp. 405-417

Persistent link: https://www.econbiz.de/10013207262

Solving the rotating seru production problem with dynamic multi-objective evolutionary algorithms

Liu, Feng; Fang, Kan; Tang, Jiafu; Yin, Yong - In: Journal of management science and engineering 7 (2022) 1, pp. 48-66

Today's volatile market conditions in electronic industries have lead to a new production system, seru (which is the … particular, the rotating seru has been widely implemented, where workers are fully cross-trained with the same skill level but … may be different on the proficiency of performing tasks. The rotating seru production problem, which determines the …

Persistent link: https://www.econbiz.de/10013207391

A metaheuristic method for solving an emergency problem

Makboul, Salma; El Hilali Alaoui, Ahmed - In: International journal of logistics systems and … 41 (2022) 1/2, pp. 29-58

Persistent link: https://www.econbiz.de/10013092985

Bi-objective coordinated production and transportation scheduling problem with sustainability : formulation and solution approaches

Yağmur, Ece; Kesen, Saadettin Erhan - In: International journal of production research 61 (2023) 3, pp. 774-795

Persistent link: https://www.econbiz.de/10014226784

A decomposition-based multi-objective evolutionary algorithm for hybrid flowshop rescheduling problem with consistent sublots

Zhang, Biao; Pan, Quan Ke; Meng, Lei-lei; Zhang, Xin-li; … - In: International journal of production research 61 (2023) 3, pp. 1013-1038

Persistent link: https://www.econbiz.de/10014226882

Level-based multi-objective particle swarm optimizer for integrated production scheduling and vehicle routing decision with inventory holding, delivery, and tardiness costs

Long, Jianyu; Pardalos, Panos M.; Li, Chuan - In: International journal of production research 60 (2022) 11, pp. 3319-3338

Persistent link: https://www.econbiz.de/10013499155

Multiobjective Scheduling by Genetic Algorithms

Bagchi, Tapan P. - 1999

Multiobjective Scheduling by Genetic Algorithms describes methods for developing multiobjective solutions to common production scheduling equations modeling in the literature as flowshops, job shops and open shops. The methodology is metaheuristic, one inspired by how nature has evolved a...

Persistent link: https://www.econbiz.de/10013521707

A new orthogonal evolutionary algorithm based on decomposition for multi-objective optimization

Dai, Cai; Wang, Yuping; Yue, Wei - In: Journal of the Operational Research Society : OR 66 (2015) 10, pp. 1686-1698

Persistent link: https://www.econbiz.de/10011418389