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• W1569321343 abstract "Abstract This work proposes new multiple objective optimization (MOO) technology, using a Monte Carlo-based algorithm stemmed from simulated annealing (SA). Since the expected result in MOO tasks is usually a set of Pareto-optimal solutions, the optimization problem states assumed here are themselves sets of solutions. The stochastic search follows a series of reversible state transitions at constant probability, to enjoy convergence properties of stationary Markov processes. The proposed technology is tested against the optimal design of a process system involving equipment placed in a serial/parallel arrangement, with three optimization objectives: the system cost, reliability and weight." @default.
• W1569321343 created "2016-06-24" @default.
• W1569321343 creator A5018036022 @default.
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• W1569321343 date "2010-01-01" @default.
• W1569321343 modified "2023-10-01" @default.
• W1569321343 title "A dynamic screening algorithm for multiple objective simulated annealing optimization" @default.
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• W1569321343 doi "https://doi.org/10.1016/s1570-7946(10)28059-8" @default.
• W1569321343 hasPublicationYear "2010" @default.
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