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Multiobjective optimization of reactor-regenerator system using ant algorithm
P.S. Shelokar, , B.D. Kulkarni
Published in Marcel Dekker Inc.
Volume: 21
Issue: 7-8
Pages: 1167 - 1184
This article focuses on the development of a multiobjective optimization algorithm for a tubular reactor-regenerator system with a moving deactivating catalyst. The task is to find the optimal temperature profile along the tubular reactor, catalyst recycle ratio, and the regeneration capacity for maximizing the process profit flux, selectivity, and conversion. A new heuristic technique, viz, ant colony optimization method has been employed to obtain the Pareto optimal set of solutions.
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Published in Marcel Dekker Inc.
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