Results 241 to 250 of about 964,214 (297)

A Dynamic Hybrid Weighting Framework for Teaching Effectiveness Evaluation in Multi-Criteria Decision-Making: Integrating Interval-Valued Intuitionistic Fuzzy AHP and Entropy Triggering. [PDF]

Entropy (Basel)
Lu C, Zhang Y.
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Multi-criteria decision analysis approach on parametric optimization of abrasive waterjet pocket milling in Ti-6Al-4V alloy. [PDF]

Sci Rep
Naresh Raj KL, Jayavelu S, Kumar MS, Kumar A, Swarna B.   +4 more
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Multi-criteria decision making approach for solar energy implementation using N-cubic fuzzy interaction aggregation operators. [PDF]

Sci Rep
Al Shumrani MA, Gulistan M, Abbas T.
europepmc   +1 more source

Deep learning and TOPSIS-based multi-criteria decision-making framework for urban road defect detection and sustainable maintenance planning. [PDF]

Sci Rep
Zhong Z, Ren Z.
europepmc   +1 more source

Supporting treatment decision-making for patients with multiple myeloma post-DRd in Italy: a multi-criteria decision framework. [PDF]

BMC Cancer
Boccadoro M, Belotti A, Bombaci F, Bringhen S, Buda G, Cafro AM, Caimmi M, Canali B, Canonico PL, Cavo M, Corso A, De Paoli L, Derudas D, Di Raimondo F, Galeone C, Gay F, Gentile M, Giuliani N, La Malfa P, Mercati R, Montefusco V, Musto P, Offidani M, Patriarca F, Petrucci MT, Riccaboni M, Tosi P, Zamagni E, Zambello R, Fiorentino F.   +29 more
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Multi-criteria Optimization

, 2017
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Multi-criteria differential evolution

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021
Evolutionary multitask optimization (EMTO) has shown great potential and attracted increasing attention for solving multitask optimization problem (MTOP). However, most existing EMTOs still treat the internal tasks just as different related problems, rather than the component problems of the entire MTOP, which is inefficient.
Jian-Yu Li, Ke-Jing Du, Zhi-Hui Zhan, Hua Wang 0002, Jun Zhang 0003   +4 more
openaire   +1 more source

Multi-criteria probability collectives

International Journal of Bio-Inspired Computation, 2014
The nature-/bio-/socio-inspired optimisation techniques can efficiently handle unconstrained problems; however, their performance gets significantly affected when applied for solving constrained problems. This paper proposes a variation of the distributed optimisation multi-agent system (MAS) approach of probability collectives (PC) in collective ...
Neha S. Patankar, Anand Jayant Kulkarni, Kang Tai, T. D. Ghate, A. R. Parvate   +4 more
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Equilibrium in Multi-criteria Transportation Networks

Journal of Optimization Theory and Applications, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dinh The Luc, Truong Thi Thanh Phuong
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