Quantum-inspired optimization algorithm with adaptive correction of energy position: Methodology and a case study
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Published:2023-09
Issue:
Volume:145
Page:110560
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ISSN:1568-4946
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Container-title:Applied Soft Computing
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language:en
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Short-container-title:Applied Soft Computing
Reference37 articles.
1. Efficient global optimization of expensive black-box functions;Jones;J. Global Optim.,1998
2. Upper and lower bounds for randomized search heuristics in black-box optimization;Droste;Theory Comput. Syst.,2006
3. Beyond black-box optimization: a review of selective pressures for evolutionary robotics;Doncieux;Evol. Intell.,2014
4. Ant system: optimization by a colony of cooperating agents;Dorigo;IEEE Trans. Syst. Man Cybern. B,1996
5. Y. Shi, R.C. Eberhart, Empirical study of particle swarm optimization, in: IEEE Congress on Evolutionary Computation, 1999, pp. 1945–1950, http://dx.doi.org/10.1109/CEC.1999.785511.