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A new improved alopex-based evolutionary algorithm and its application to parameter estimation

Journal of Central South University 2013年第1期20卷 123-133页

作者：桑志祥李绍军董跃华 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education (East China University of Science and Technology)

In this work, focusing on the demerit of AEA (alopex-based evolutionary algorithm) algorithm, an improved AEA algorithm (AEA-C) which was fused AEA with clonal selection algorithm was proposed. Considering the irrationality of the method that generated candidate solutions at each iteration of AEA, clonal selection algorithm could be applied to improve the method. The performance of the proposed new algorithm was studied by using 22 benchmark functions and was compared with original AEA given the same conditions. The experimental results show that the AEA-C clearly outperforms the original AEA for almost all the 22 benchmark functions with 10, 30, 50 dimensions in success rates, solution quality and stability. Furthermore, AEA-C was applied to estimate 6 kinetics parameters of the fermentation dynamics models. The standard deviation of the objective function calculated by the AEA-C is 41.46 and is far less than that of other literatures' results, and the fitting curves obtained by AEA-C are more in line with the actual fermentation process curves.

关键词： alopex evolutionary algorithm alopex-based evolutionary algorithm clone selection parameter estimation

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Multi-plant indirect heat integration based on the alopex-based evolutionary algorithm

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ENERGY 2018年 163卷 811-821页

作者： Pan, Huangji Jin, Yuhui Li, Shaojun East China Univ Sci & Technol Minist Educ Key Lab Adv Control & Optimizat Chem Proc Shanghai 200237 Peoples R China

Multi-plant indirect heat integration via an intermediate fluid loop is an effective and energy-saving method of heat recovery. It is most suitable in practical applications because it requires fewer inter-plant pipelines and has the advantages of a simple heat exchanger network. A well-designed heat exchanger network will significantly increase economic efficiency and reduce energy consumption in plants. In this paper, a multi-plant indirect heat exchanger network model is developed for recycling heat using intermediate fluid. This model aims to minimize the total annual cost, including utility cost, number of units and heat transfer area cost. An alopex-based evolutionary algorithm is used to optimize the model and obtain the heat capacity flow rate of intermediate fluids, the temperature of the heat transfer medium and the configuration of the superstructure simultaneously. Results from three examples demonstrate that the proposed model can perform well in multi-plant heat exchanger network synthesis. (C) 2018 Elsevier Ltd. All rights reserved.

关键词： Multi-plant Indirect heat integration Simultaneous optimization alopex-based evolutionary algorithm

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Multi-plant direct heat integration based on the risk-based Shapley value and alopex-based evolutionary algorithm

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CHEMICAL ENGINEERING SCIENCE 2022年第PartA期248卷 117222-117222页

作者： Tian, Yitong Li, Shaojun East China Univ Sci & Technol Key Lab Smart Mfg Energy Chem Proc Minist Educ Shanghai 200237 Peoples R China

Current heat exchanger network (HEN) synthesis is mainly focused on minimizing the total annual cost (TAC), and then allocating the minimized TAC among plants. However, the obtained HENs usually have complex inter-plant heat matches, and if unplanned shutdowns occur, connected plants will suffer huge economic losses. Consequently, some plants may be unsatisfied with their allocated costs and prefer not to join this multi-plant coalition. In this study, a natural risk-based Shapley value curve is used to represent the variation of cost allocation under shutdown risks between 0% and 100%. alopex-based optimization strategies are proposed to optimize the modified HEN model with core constraints that can restrict the Shapley value curve to the core range as feasible cost allocation solutions. Therefore, HEN configurations and acceptable cost allocation plans under any shutdown risks are determined simultaneously. Two cases demonstrate that the proposed methodology can reduce shutdown-induced economic losses and facilitate multi-plant cooperation. (c) 2021 Elsevier Ltd. All rights reserved.

关键词： Inter-plant heat integration Risk-based Shapley value Shutdown risk analysis alopex-based evolutionary algorithm Superstructure model

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