2004Chinese Journal of Chemical EngineeringRequires access

Multi-objective fuzzy optimization algorithm for separation-recycle system

Li Sun, Xishan Fan, Pingjing Yao

Open publisher page 4 citations

Abstract

Separation-recycle system is an important part in chemical process, and its optimization is a multi-objective problem. In this paper the process optimization procedure is proposed. The fuzzy optimization algorithm with the concept of relative importance degree (RID) is utilized to transfer multi-objective optimization (MO-O) model into a single-objective optimization (SO-O) framework. The treatment of process condensate in synthesis ammonia plant is taken as example to illustrate the optimization procedure, and the satisfactory result demonstrates feasibility and effectiveness of the suggested method.

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What this paper is about

Separation-recycle system is an important part in chemical process, and its optimization is a multi-objective problem. In this paper the process optimization procedure is proposed. The fuzzy optimization algorithm with the concept of relative importance degree (RID) is utilized to transfer multi-objective optimization (MO-O) model into a single-objective optimization (SO-O) framework. The treatment of process condensate in synthesis ammonia plant is taken as example to illustrate the optimization procedure, and the satisfactory result demonstrates feasibility and effectiveness of the suggested method.

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Available abstract

Separation-recycle system is an important part in chemical process, and its optimization is a multi-objective problem. In this paper the process optimization procedure is proposed. The fuzzy optimization algorithm with the concept of relative importance degree (RID) is utilized to transfer multi-objective optimization (MO-O) model into a single-objective optimization (SO-O) framework. The treatment of process condensate in synthesis ammonia plant is taken as example to illustrate the optimization procedure, and the satisfactory result demonstrates feasibility and effectiveness of the suggested method.

Key concepts: Process (computing), Mathematical optimization, Optimization algorithm, Multi-objective optimization, Process optimization, Engineering optimization, Fuzzy logic, Optimization problem

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