Search Results - subject:"Multi-objective evolutionary algorithm"

A Q-learning driven multi-objective evolutionary algorithm for worker fatigue dual-resource-constrained distributed hybrid flow shop

Song, Haonan; Li, Junqing; Du, Zhaosheng; Yu, Xin; Xu, Ying - In: Computers & operations research : an international journal 175 (2025), pp. 1-19

Persistent link: https://www.econbiz.de/10015330402

Optimization of subsurface models with multiple criteria using Lexicase Selection

He, Yifan; Aranha, Claus; Hallam, Antony; Chassagne, Romain - In: Operations research perspectives 9 (2022), pp. 1-10

Seismic History Matching (SHM) is a key problem in the geosciences community, requiring optimal parameters of a subsurface model that match the observed data from multiple in-situ measurements. Therefore, the SHM problems are usually solved with Multi-Objective Evolutionary Algorithms (MOEAs)....

Persistent link: https://www.econbiz.de/10014245478

A comprehensive risk assessment view on interval type-2 fuzzy controller for a time-dependent HazMat routing problem

Zandieh, Fatemeh; Ghannadpour, Seyed Farid - In: European journal of operational research : EJOR 305 (2023) 2, pp. 685-707

Persistent link: https://www.econbiz.de/10013479280

Bi-objective no-wait multiproduct multistage product scheduling problem with flexible due dates based on MOIDE- MA

Yan, Xueli; Gu, Xingsheng - In: Computers & operations research : and their … 137 (2022), pp. 1-17

Persistent link: https://www.econbiz.de/10013197625

Remanufacturing-oriented process planning and scheduling : mathematical modelling and evolutionary optimisation

Gong, Guiliang; Deng, Qianwang; Chiong, Raymond; Gong, Xuran - In: International journal of production research 58 (2020) 12, pp. 3781-3799

Persistent link: https://www.econbiz.de/10012265963

Evolutionary algorithms for multi-objective dual-resource constrained flexible job-shop scheduling problem

Yazdani, M.; Zandieh, M.; Tavakkoli-Moghaddam, R. - In: Opsearch : journal of the Operational Research Society … 56 (2019) 3, pp. 983-1006

Persistent link: https://www.econbiz.de/10012112293

An improved multi-objective evolutionary algorithm based on decomposition for energy-efficient permutation flow shop scheduling problem with sequence-dependent setup time

Jiang, En-da; Wang, Ling - In: International journal of production research 57 (2019) 6, pp. 1756-1771

Persistent link: https://www.econbiz.de/10012183915

Selection methods and diversity preservation in many-objective evolutionary algorithms

Martí, Luis; Segredo, Eduardo; Sánchez-Pi, Nayat; … - In: Data Technologies and Applications 52 (2018) 4, pp. 502-519

/methodology/approach Each of those mechanisms is incorporated into a common multi-objective evolutionary algorithm framework. The main goal of …

Persistent link: https://www.econbiz.de/10014712597

A Preference-Based Multi-Objective Evolutionary Algorithm for Semiautomatic Sensor Ontology Matching

Xue, Xingsi; Chen, Junfeng - In: International Journal of Swarm Intelligence Research (IJSIR) 9 (2018) 2, pp. 1-14

preference-based multi-objective evolutionary algorithm (PMOEA), which can utilize the user's knowledge of the solution's quality …

Persistent link: https://www.econbiz.de/10012047859

Multi-objective evolutionary algorithm for a ship routing problem in maritime logistics collaboration

Wibisono, Eric; Jittamai, Phongchai - In: International journal of logistics systems and management 28 (2017) 2, pp. 225-252

Persistent link: https://www.econbiz.de/10011856125