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Learning-based multi-objective evolutionary algorithm for batching decision problem

Meng, Ying; Li, Tianyang; Tang, Lixin - In: Computers & operations research : and their … 149 (2023), pp. 1-14

Persistent link: https://www.econbiz.de/10013460779

Bi-criteria SDST hybrid flow shop scheduling with learning effect of setup times : water flow-like algorithm approach

Pargar, F.; Zandieh, M. - In: International journal of production research 50 (2012) 10, pp. 2609-2623

Persistent link: https://www.econbiz.de/10009575433

Stratification trees for adaptive randomisation in randomised controlled trials

Tabord-Meehan, Max - In: The review of economic studies : RES 90 (2023) 5, pp. 2646-2673

Persistent link: https://www.econbiz.de/10014392036

A hybrid genetic-immune algorithm with improved lifespan and elite antigen for flow-shop scheduling problems

Chang, Pei-chann; Huang, Wei-hsiu; Ting, Ching-jung - In: International journal of production research 49 (2011) 15/17, pp. 5207-5230

Persistent link: https://www.econbiz.de/10009261881

Multi-response optimisation of process parameters in pocket milling using artificial neural networks and genetic algorithms

Rajyalakshmi, M.; Rao, M. Venkateswara - In: Journal of information & knowledge management : JIKM 21 (2022) 2, pp. 1-15

In the plastic industry for mold making, pocket milling is applied. The surface finish of the mold affects the quality of the plastic product, especially for toys. This can be achieved by minimising the surface roughness of the mold. To get a good quality product with a better production rate,...

Persistent link: https://www.econbiz.de/10013389523