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A novel hybrid estimation of distribution algorithm for solving hybrid flowshop scheduling problem with unrelated parallel machine

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Journal of Central South University 2017年第8期24卷 1779-1788页

作者：孙泽文顾幸生 Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education(East China University of Science and Technology)Shanghai 200237China

The hybrid flow shop scheduling problem with unrelated parallel machine is a typical NP-hard combinatorial optimization problem, and it exists widely in chemical, manufacturing and pharmaceutical industry. In this work, a novel mathematic model for the hybrid flow shop scheduling problem with unrelated parallel machine(HFSPUPM) was proposed. Additionally, an effective hybrid estimation of distribution algorithm was proposed to solve the HFSPUPM, taking advantage of the features in the mathematic model. In the optimization algorithm, a new individual representation method was adopted. The(EDA) structure was used for global search while the teaching learning based optimization(TLBO) strategy was used for local search. Based on the structure of the HFSPUPM, this work presents a series of discrete operations. Simulation results show the effectiveness of the proposed hybrid algorithm compared with other algorithms.

关键词： hybrid estimation of distribution algorithm teaching learning based optimization strategy hybrid flow shop unrelated parallel machine scheduling

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Formation control of multi-agent systems via event-triggered approach under independent position and velocity topologies

Formation control of multi-agent systems via event-triggered...

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IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Hangui Zhu Zhen Li Wenle Zhang Qianru Zhang School of Automation Xi’an University of Posts and Telecommunications Xi’an China Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China The University of Hong Kong Hong Kong China

ISBN: (数字)9781728124858

ISBN: (纸本)9781728124865

In this paper, a distributed event-triggered algorithm has considered for formation problem in second-order multi-agent system with fixed independent position and velocity interaction topologies. For each agent, the involved controller is designed to be updated by time instant that is determined by the local and current sampling data. Based on the Lyapunov control approach, a sufficient criterion has been derived that the desired formation shape can be ensured. Moreover, it is shown that the Zeno phenomenon can be excluded, and an extra control input has been utilized to implement obstacle avoidance. Finally, a numerical simulation is given to illustrate the effectiveness of the theoretical results.

关键词： Topology Multi-agent systems Collision avoidance Multi-robot systems Position control Lyapunov methods Mobile robots

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Synchronization of multilayer networks with stochastic 11

Synchronization of multilayer networks with stochastic

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2017 11th Asian control Conference, ASCC 2017

作者： He, Wangli Lv, Siqi Peng, Chen Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China School of Mechatronic Engineering and Automation Shanghai University 200072 China

ISBN: (纸本)9781509015733

This paper is concerned with synchronization in a network with two different types of interactions, formulated by multilayer networks. A switching law between the two layers is proposed, which follows a Bernoulli distribution. An appropriate mathematical model is constructed firstly to describe multilayer networks with stochastic switching layers. Then a mean square synchronization criterion is derived, which is followed by an alternative sufficient condition. Comparisons with the existing work are also included. Finally, an example is given to verify the theoretical results. © 2017 IEEE.

关键词： Synchronization

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An extragradient algorithm for fixed point problems and pseudomonotone equilibrium problems

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UPB Scientific Bulletin, Series A: Applied Mathematics and Physics 2020年第4期82卷 89-96页

作者： Yao, Zhangsong Liou, Yeong-Cheng Zhu, Li-Jun School of Information Engineering Nanjing Xiaozhuang University Nanjing211171 China Department of Healthcare Administration and Medical Informatics Research Center of Nonlinear Analysis and Optimization Kaohsiung Medical University Department of Medical Research Kaohsiung Medical University Hospital Kaohsiung807 Taiwan The Key Laboratory of Intelligent Information and Big Data Processing of NingXia Province and Health Big Data Research Institute Advanced Intelligent Perception and Control Technology Innovative Team of NingXia North Minzu University Yinchuan750021 China

Iterative methods for solving fixed point problems and pseudomonotone equilibrium problems have been considered. An extragradient algorithm has been presnted for finding a common element of the fixed points of pseudocontractive operators and the solutions of pseudomonotone equilibrium problems in Hilbert spaces. Weak convergence result of the suggested algorithm is proved. © 2020, Politechnica University of Bucharest. All rights reserved.

关键词： Iterative methods

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Multi-objective modeling and optimization for scheduling of cracking furnace systems

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Chinese Journal of Chemical Engineering 2017年第8期25卷 992-999页

作者： Peng Jiang Wenli Du Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education School of Information Science and Engineering East China University of Science and Technology

Cracking furnace is the core device for ethylene production. In practice, multiple ethylene furnaces are usually run in parallel. The scheduling of the entire cracking furnace system has great significance when multiple feeds are simultaneously processed in multiple cracking furnaces with the changing of operating cost and yield of product. In this paper, given the requirements of both profit and energy saving in actual production process, a multi-objective optimization model contains two objectives, maximizing the average benefits and minimizing the average coking amount was proposed. The model can be abstracted as a multi-objective mixed integer non- linear programming problem. Considering the mixed integer decision variables of this multi-objective problem, an improved hybrid encoding non-dominated sorting genetic algorithm with mixed discrete variables （MDNSGA-II） is used to solve the Pareto optimal front of this model, the algorithm adopted crossover and muta- tion strategy with multi-operators, which overcomes the deficiency that normal genetic algorithm cannot handle the optimization problem with mixed variables. Finally, using an ethylene plant with multiple cracking furnaces as an example to illustrate the effectiveness of the scheduling results by comparing the optimization results of multi-objective and single objective model.

关键词： Cracking furnace systems Feed scheduling Multi-objective mixed integer nonlinear optimization Genetic algorithm

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A framework for high-dimensional robust evolutionary multi-objective optimization 18

A framework for high-dimensional robust evolutionary multi-o...

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2018 Genetic and Evolutionary Computation Conference, GECCO 2018

作者： Du, Wei Tong, Le Tang, Yang Key Laboratory of Advanced Control Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China College of Information Mechanical and Electrical Engineering Shanghai Normal University Shanghai China

ISBN: (纸本)9781450357647

This paper proposes a framework for solving high-dimensional robust multi-objective optimization problems. A decision variable classification-based framework is developed to search for robust Pareto-optimal solutions. The decision variables are classified as highly and weakly robustness-related variables based on their contributions to the robustness of candidate solutions. In the case study, an order scheduling problem in the apparel industry is investigated via the proposed framework. The experimental results reveal that the performance of robust evolutionary optimization can be greatly improved via analyzing the properties of decision variables and then decomposing the high-dimensional robust multiobjective optimization problem. © 2018 Association for Computing Machinery.

关键词： Evolutionary algorithms

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Exploring Si/Mg Composite Supported Ziegler-Natta Ti-based Catalysts for Propylene Polymerization

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Chinese Journal of Polymer Science 2017年第12期35卷 1474-1487页

作者： Wei Zhu 田洲 Rui-hua Cheng Xue-lian He Zhen Liu Ning Zhao 刘柏平 State Key Laboratory of Chemical Engineering East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

A series of（SiO2/MgO/ID/MgCl2）·TiClx Ziegler-Natta catalysts for propylene polymerization has been prepared with a new method. These catalysts were synthesized using soluble Mg-compounds as the Mg-source and the preparation progress was relatively simple. The catalyst could copy the spherical shape of the carrier very well. The propylene polymerization results showed that the catalyst revealed the best activity with 9,9-di（methoxymethyl）fluorene（BMMF） as internal donor at 50 °C with the optimal molar ratio Al/Ti = 5, which was much lower than what the industrial polypropylene catalyst used（at least molar ratio Al/Ti = 100）, resulting in great cost saving. Additionally, the polymerization kinetics of the catalyst exhibited very stable property after achieving a relatively high value. These catalysts possessed rather high activity and good hydrogen response. The isotactic index（Ⅱ.） value of the PP products could be higher than 98% in the presence of both internal and external electron donors. Moreover, temperature rising elution fractionation method was used to understand the influence of donors and H2 on the properties of the PP products.

关键词： Polypropylene Ziegler-Natta catalyst External donor Intemal donor Kinetic curves

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Stochastic stability of evolutionary prisoner's dilemma

Stochastic stability of evolutionary prisoner's dilemma

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2018 Australian and New Zealand control Conference, ANZCC 2018

作者： Liang, Haili Zhou, Zhao Zhang, Fan Peng, Chen Wang, Yu-Long Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronic Engineering and Automation Shanghai University Shanghai200444 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Mathematics Southeast University Nanjing China

ISBN: (纸本)9781538666173

In this paper, we study two-player evolutionary prisoner's dilemma on regular graphs and identify the stochastically stable equilibria for infinite populations. We consider four different update rules: Birth-death(BD), death-birth(DB), imitation(IM) and pairwise comparison(PC). With the same values of cost and benefit of cooperation, we show that there is a unique stochastically stable equilibrium for evolutionary prisoner's dilemma on regular graphs. If the benefit-to-cost ratio is larger than k + 2 (k is the degree of a regular graph), the networked game has a higher fraction of cooperators than that for a well-mixed population. Under certain conditions, the lower graph connectivity can lead to the emergence of more cooperators. Besides theoretical analysis, we demonstrate our results through numerical computations and simulations as well. © 2018 IEEE.

关键词： Stochastic systems

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Coordinated optimization Method of Dual Head Gasoline Blending Under Strict Constraint Conditions

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Shiyou Xuebao, Shiyou Jiagong/Acta Petrolei Sinica (Petroleum Processing Section) 2019年第2期35卷 337-347页

作者： He, Renchu Chen, Haiquan Zhang, Weidong Zhu, Wenqi Key Laboratory of Advanced Control and Optimization Technology for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai University Shanghai200072 China Information and Measurement Center Jinling Company SINOPEC Nanjing210033 China Storage and Transportation Department Zhenhai Refining&Chemical Company SINOPEC Ningbo315207 China

For the upcoming China Ⅵ gasoline standard with much more strictly controlled properties, and high requirements for blending efficiency, a blending process and coordinated optimization algorithm for blending multiple brands of gasoline at the same time were developed. Octane number model, vapor pressure model, density model, distillation range model and content attribute model were established. The calculation process of octane number model and distillation range model have been improved, and 12 quality indicators of gasoline can be precisely monitored during the blending process. Considering the actual accumulative blending process, the properties of gasoline in the tank during the blending process should be converted into instantaneous properties zone at the blending head. The optimized properties of the blending head are used to compensate the properties deviation of the amount of blending and the tank bottom oil. Meanwhile, a reasonable and efficient coordination optimization algorithm is used to coordinate the upper limit of the common component oil, which solves the problem of scramble for the common component oil flow in the double blending head in the blending process. The simulation results show that the design method can be applied to the gasoline blending of double head in the field, and can also provide technical support for the upgrading of gasoline blending process under the China Ⅵ gasoline standard. © 2019, Editorial Office of Acta Petrolei Sinica(Petroleum Processing Section). All right reserved.

关键词： Gasoline

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Robust ℒ2 disturbance attenuation for a class of uncertain Lipschitz nonlinear systems with input delay

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International Journal of control 2019年第5期92卷 1015-1021页

作者： Zuo, Zongyu Wang, Chunyan Yang, Wen Ding, Zhengtao The Seventh Research Division Beihang University (BUAA) Beijing China School of Automation Science and Electrical Engineering Beihang University (BUAA) Beijing China School of Electrical and Electronic Engineering University of Manchester Manchester UK Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China

In this paper, we study a robust disturbance attenuation problem that arises when applying the Artstein–Kwon–Pearson reduction transformation for a class of uncertain Lipschitz nonlinear systems with input delay and external disturbances. A conventional predictor-based feedback controller is adopted with the control gain matrix carefully identified by solving a couple of sufficient conditions in terms of linear matrix inequalities. Lyapunov–Krasovskii functionals are constructed to guarantee that the robust disturbance attenuation problem can be solved by the proposed controller. A numerical example is included to validate the performance of the proposed controller. [ABSTRACT FROM AUTHOR]

关键词： Disturbance attenuation input delay Lipschitz nonlinearity parametric uncertainty robust stabilisation

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