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  • Search: subject:"Quantum-inspired evolutionary algorithm"
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Year of publication
Subject
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Quantum-inspired evolutionary algorithm 2 Big Data 1 Big data 1 Combinatorial Optimization 1 Cost constraint feature selection 1 Credit rating 1 Credit scoring 1 Crossover 1 Differential mutation 1 Evolutionary algorithm 1 Evolutionärer Algorithmus 1 Heuristic strategy 1 Hybrid Evolutionary Algorithm 1 Hydrothermal generation scheduling 1 Kreditwürdigkeit 1 Mobile behavior 1 Multiple Knapsack Problem 1 Optimization 1 Quantum Inspired Evolutionary Algorithm 1 Theorie 1 Theory 1
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Undetermined 3
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2 Undetermined 1
Author
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Bansal, Sulabh 1 Chen, Chi Ming 1 He, Kaijian 1 Mo, Li 1 Patvardhan, C. 1 Tso, Kwok Fai Geoffrey 1 Wang, Yongqiang 1 Zhang, Rui 1 Zhang, Yongchuan 1 Zhou, Jianzhong 1
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Published in...
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Computational economics 1 Energy 1 International Journal of Applied Evolutionary Computation (IJAEC) 1
Source
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ECONIS (ZBW) 1 RePEc 1 Other ZBW resources 1
Showing 1 - 3 of 3
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Quantum optimized cost based feature selection and credit scoring for mobile micro-financing
Chen, Chi Ming; Tso, Kwok Fai Geoffrey; He, Kaijian - In: Computational economics 63 (2024) 2, pp. 919-950
Persistent link: https://www.econbiz.de/10014475076
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An Improved Generalized Quantum-Inspired Evolutionary Algorithm for Multiple Knapsack Problem
Bansal, Sulabh; Patvardhan, C. - In: International Journal of Applied Evolutionary … 9 (2018) 1, pp. 17-51
This article describes how the 0/1 Multiple Knapsack Problem (MKP), a generalization of popular 0/1 Knapsack Problem, is NP-hard and harder than simple Knapsack Problem. Solution of MKP involves two levels of choice – one for selecting an item to be placed and the other for selecting the...
Persistent link: https://www.econbiz.de/10012042727
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Short-term hydrothermal generation scheduling using differential real-coded quantum-inspired evolutionary algorithm
Wang, Yongqiang; Zhou, Jianzhong; Mo, Li; Zhang, Rui; … - In: Energy 44 (2012) 1, pp. 657-671
-coded quantum-inspired evolutionary algorithm (DRQEA) for solving this complicated problem. Some improvements like real-coded rule …
Persistent link: https://www.econbiz.de/10010808075
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