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Synthesis and Optimization of Heat Integrated Distillation Systems Using an Improved Genetic Algorithm by Kefeng Wang; Yu Qian; Yi Yuan; Pingjing Yao is a Engineering article available to read on EtoBox.

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Synthesis of heat integrated multi-component distillation systems is complex due to its huge search space for structural combination and optimization computation. To provide a systematic approach and tools for synthesis design and retrofits of distillation systems, an improved genetic algorithm (IGA) is proposed. The algorithm inherits main ideas in evolutionary computing, employs a distributed sub-population strategy to avoid local optima, and applies for a continuous variable space coding procedure, which is computational fast and stable in converging to global optima. This paper describes IGA-based optimization strategy for synthesis and optimization of separation sequences and their heat exchanger network. Two example are presented.

Who reads Synthesis and Optimization of Heat Integrated Distillation Systems Using an Improved Genetic Algorithm?

Author

Kefeng Wang; Yu Qian; Yi Yuan; Pingjing Yao

Publisher

Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0098-1354)

Published

1998

Language

EN

Field

Engineering (Physical Sciences)