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• W2081750791 abstract "This paper describes the implementation of a meta-heuristic optimization approach, Tabu Search (TS), for heat exchanger networks (HEN) synthesis and compares this approach to others presented in the literature. TS is a stochastic optimization approach that makes use of adaptive memory in the form of Tabu lists. Both recency- and frequency-based Tabu lists are used to provide short- and long-term knowledge of search history. TS is shown to locate the global optima with a high probability and low computation times, demonstrating the algorithm’s potential for solving a variety of other mixed integer nonlinear programming (MINLP) problems." @default.
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• W2081750791 date "2004-07-01" @default.
• W2081750791 modified "2023-10-03" @default.
• W2081750791 title "Solving heat exchanger network synthesis problems with Tabu Search" @default.
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• W2081750791 doi "https://doi.org/10.1016/j.compchemeng.2003.10.004" @default.
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