A simple numerical scheme for generation of weighting factors for multiobjective optimisation
Author:
Funder
Thailand Research Funds
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-020-05249-0.pdf
Reference29 articles.
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2. Bureerat S, Pholdee N (2016) Optimal truss sizing using an adaptive differential evolution algorithm. J Comput Civ Eng 30(2):04015019. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000487
3. Bureerat S, Sriworamas K (2007) Population-based incremental learning for multiobjective optimisation. In: Saad A, Dahal K, Sarfraz M, Roy R (eds) Soft computing in industrial applications. Advances in soft computing. Springer, Berlin, Heidelberg, pp 223–232
4. Bureerat S, Pholdee N, Radpukdee T, Jaroenapibal P (2019) Self-adaptive MRPBIL-DE for 6D robot multiobjective trajectory planning. Expert Syst Appl 136(December):133–144. https://doi.org/10.1016/j.eswa.2019.06.033
5. Cheng R, Jin Y, Olhofer M, Sendhoff B (2016) A reference vector guided evolutionary algorithm for many-objective optimization. IEEE Trans Evol Comput 20(5):773–791. https://doi.org/10.1109/TEVC.2016.2519378
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