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IEEE International Conference on Systems, Man and Cybernetics (SMC)

作者： Okamoto, Takashi Hirata, Hironori Chiba Univ Grad Sch Engn Chiba Japan

ISBN: (纸本)9781457706530

In this study, we propose a new constrained optimization method using the quasi-chaotic optimization method (Q-COM) with the exact penalty function and the sequential quadratic programming (SQP). The Q-COM, which has been proposed recently, is a global optimization method to solve unconstrained optimization problems in which the simultaneous perturbation gradient approximation is introduced into the chaotic optimization method to apply to a class of problems whose objective function values only can be computed. The SQP is well known and powerful constrained optimization method to find local optimal solution. In the proposed method, the Q-COM with the exact penalty function is used as the global search method and the SQP is used as the local search method. We confirm the effectiveness of the proposed method through applications to various types of benchmark problems that include the coil spring design problem and the benchmark problems used in the special session on constrained real parameter optimization in CEC2006.

关键词： Chaotic Optimization Method Simultaneous Perturbation Gradient Approximation sequential quadratic programming Exact Penalty Function Method Constrained Optimization

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Optimization of the Retardance in Citrate Coated Ferrofluids Using Integrated Genetic-sequential quadratic programming Technique 8

Optimization of the Retardance in Citrate Coated Ferrofluids...

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8th International Conference on Soft Computing & Machine Intelligence (ISCMI)

作者： Lin, Jing-Fung Far East Univ Dept Aircraft Maintenance Tainan Taiwan

ISBN: (纸本)9781728186832

The citrate (citric acid, CA) coated ferrofluids with great magneto-optical retardance could meet the highly magnetic responsive demand, especially in their potential biomedical applications such as hyperthermia and magnetic resonance imaging. In this study, the measured retardances are based on Taguchi method with nine tests for four parameters, including pH of suspension, molar ratio of CA to Fe3O4, CA volume, and coating temperature. Three optimization algorithms including sequential quadratic programming (SQP), genetic algorithm (GA) and integrated GA-SQP are executed to obtain high retardance. Five initial points chosen from the orthogonal test are input into the SQP, the GA is applied to the regression equation, and while executing the integrated GA-SQP algorithm, the parametric combination obtained by GA is adopted as the initial point in the SQP simulation. The global optimum retardance and the corresponding parameter values are effectively assured by the global search ability of a GA and the ability of local searching by using SQP.

关键词： genetic algorithm retardance sequential quadratic programming stepwise regression

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On the application of sequential quadratic programming to state constrained optimal control problems

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Annual Review in Automatic programming 1985年第PART 2期13卷 31-39页

作者： de Jong, J.L Machielsen, K.C.P Department of Mathematics and Computing Science Eindhoven University of Technology Eindhoven Netherlands CAM-Centre CFT Philips Eindhoven Netherlands

In this paper a numerical method for the solution of state constrained optimal control problems is presented. The method is derived from an infinite dimensional analogue of sequential quadratic programming. The main purpose of the paper is to present some theoretical aspects of the method. An experimental numerical implementation of the method is discussed. © 1986.

关键词： Numerical method sequential quadratic programming state constrained optimal control

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Optimal distribution generation sizing via fast sequential quadratic programming

Optimal distribution generation sizing via fast sequential q...

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Large Engineering Systems Conference on Power Engineering

作者： AlHajri, M. F. El-Hawary, M. E. IEEE

ISBN: (纸本)9781424415823

In this paper a new methodology is proposed to solve the optimal Distributed Generation (DG) sizing problem. The main feature of the proposed approach is utilizing the radial power flow method to satisfy the power flow equality constraints as a substitute of the Newton method used in the conventional sequential quadratic programming (SQP). The proposed technique, Fast SQP, is tested on 69-bus and 33-bus radial systems. Simulation results indicated that the execution time of the developed technique is significantly reduced by a factor of 2/3 compared to the conventional SQP.

关键词： sequential quadratic programming radial power flow distribution generation

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IMPROVED sequential quadratic programming APPROACH FOR OPTIMAL DISTRIBUTION GENERATION SIZING IN DISTRIBUTION NETWORKS

IMPROVED SEQUENTIAL QUADRATIC PROGRAMMING APPROACH FOR OPTIM...

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23rd Canadian Conference on Electrical and Computer Engineering (CCECE)

作者： AlHajri, M. F. AlRashidi, M. R. El-Hawary, M. E. Coll Technol Studies Elect Engn Technol Dept Paaet Kuwait Dalhousie Univ Dept Elect Engn Halifax NS B3H 4R2 Canada

ISBN: (纸本)9781424453771

Integrating Distribution Generation sources (DGs) into an electric power system has an overall positive impact on the system. This impact can be enhanced via optimal DG placement and sizing. In this paper the location issue is investigated through an All Possible Combinations (APC) search approach of the distribution network. The DG rating, on the other hand, is formulated as a nonlinear optimization problem subject to highly nonlinear equality and inequality constraints. Sizing the DG optimally is performed using a conventional sequential quadratic programming (SQP) method and a Fast SQP (FSQP) method. The FSQP is an improved version of the conventional SQP method that incorporates the Fast and Flexible Radial Power Flow (FFRPF) routine, which was developed by the authors in an earlier paper, to satisfy the power flow requirements. The results of this hybrid method are compared with those obtained using the conventional SQP technique, and the comparison results favor the proposed technique. This approach is designed to handle optimal single and multiple DG sizing. A 33-bus distribution network is used to investigate the performance of the proposed approach.

关键词： Distributed Generation DG sizing Nonlinear Optimization sequential quadratic programming Radial Distribution System

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A sequential quadratic programming Model for the Economic-Environmental Dispatch in MT-HVDC 4

A Sequential Quadratic Programming Model for the Economic-En...

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4th IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA)

作者： Montoya, Oscar Danilo Gil-Gonzalez, Walter Garces, Alejandro Univ Tecnol Bolivar Ingn Elect & Ingn Elect Cartagena Colombia Univ Tecnol Pereira Programa Ingn Elect Pereira Colombia

ISBN: (纸本)9781728116266

This paper addresses the economic-environmental dispatch problem for thermal plants on a Multi-terminal HVDC power grid. A multi-objective optimization approach is used for modeling the compromise between fuel costs and the greenhouse gas emissions by the thermal plants. The grid topology is also considered by proposing a convex reformulation of the power balance equations through Taylor's series expansion method. To eliminate the error introduced by this linear approximation a sequential quadratic programming approach is applied by solving the multi-objective problem by a single-objective equivalent via weighting factor approach. A standard 6-node HVDC system is used to validate the proposed convex formulation. All simulations are performed in MATLAB with the quadprog optimization package.

关键词： Direct-current grids economic-environmental dispatch problem multi-objective optimization sequential quadratic programming weighting factor method

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Research on thrust optimization of double pods ship based on sequential quadratic programming 13

Research on thrust optimization of double pods ship based on...

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13th World Congress on Intelligent Control and Automation (WCICA)

作者： Piao, Zaiji Guo, Chen Dalian Maritime Univ Sch Marine Elect Engn Dalian Peoples R China

ISBN: (纸本)9781538673454

In view of the particularity of ship's double pods propulsion mode, a mathematical model of ship motion is set up. In order to make the double pods more coordinated and promote the desired purpose of ships, the objective function and inequality constraint conditions based on the optimal energy consumption are put forward based on sequential quadratic programming. Combined with the real ship data, the simulation of the thrust optimization system is carried out in MATLAB, and the effectiveness of the control strategy is verified.

关键词： pod MMG ship model sequential quadratic programming thrust optimization

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Bio-inspired algorithm integrated with sequential quadratic programming to analyze the dynamics of hepatitis B virus

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Beni-Suef University Journal of Basic and Applied Sciences 2024年第1期13卷 71页

作者： Shoaib, Muhammad Tabassum, Rafia Raja, Muhammad Asif Zahoor Nisar, Kottakkaran Sooppy AI Center Yuan Ze University Department of Mathematics COMSATS University Islamabad Attock Campus Future Technology Research Center National Yunlin University of Science and Technology Department of Mathematics College of Science and Humanities in Alkharj Prince Sattam bin Abdulaziz University

Background: There are a variety of lethal infectious diseases that are seriously affecting people's lives worldwide, particularly in developing countries. Hepatitis B, a fatal liver disease, is a contagious disease spreading globally. In this paper, a new hybrid approach of feed forward neural networks is considered to investigate aspects of the SEACTR (susceptible, exposed, acutely infected, chronically infected, treated, and recovered) transmission model of hepatitis B virus disease (HBVD). The combination of genetic algorithms and sequential quadratic programming, namely CGASQP, is applied, where genetic algorithm (GA) is used as the main optimization algorithm and sequential quadratic programming (SQP) is used as a fast-searching algorithm to fine-tune the outcomes obtained by GA. Considering the nature of HBVD, the whole population is divided into six compartments. An activation function based on mean square errors (MSEs) is constructed for the best performance of CGASQP using proposed model. Results: The solution's confidence is boosted through comparative analysis with reference to the Adam numerical approach. The results revealed that approximated results of CGASQP overlapped the reference approach up to 3–9 decimal places. The convergence, resilience, and stability characteristics are explored through mean absolute deviation (MAD), Theil’s coefficient (TIC), and root mean square error (RMSE), as well as minimum, semi-interquartile range, and median values with respect to time for the nonlinear proposed model. Most of these values lie around 10⁻¹⁰–10⁻⁴ for all classes of the model. Conclusion: The results are extremely encouraging and indicate that the CGASQP framework is very effective and highly feasible for implementation. In addition to excellent reliability and level of precision, the developed CGASQP technique also stands out for its simplicity, wider applicability, and flexibility. © The Author(s) 2024.

关键词： Adam method Artificial neural networks Genetic algorithm Hepatitis B virus Hybrid approach SEACTR model sequential quadratic programming

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Path Planning for Unmanned Surface Vehicle based on genetic algorithm and sequential quadratic programming

Path Planning for Unmanned Surface Vehicle based on genetic ...

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Chinese Automation Congress (CAC)

作者： Zhuang, Yufei Wang, Cheng Huang, Haibin Harbin Inst Technol Sch Informat Sci & Engn Weihai Peoples R China Harbin Inst Technol Sch Astronaut Harbin Peoples R China

ISBN: (纸本)9781728176871

Path planning and obstacle avoidance of Unmanned Surface Vehicle (USV) is one of the hottest research topics in modern national defense and ocean engineering. Considering the issue of obstacle-free path planning of USV, this paper focuses on a 3-DoF USV and develops an algorithm design. We adopt Gauss pseudo-spectral method to discretize control model and make use of a hybrid algorithm to optimize which combines the advantage of genetic algorithm and sequential quadratic programming algorithm. Simulation results show that this method can quickly explore a high-precision route in an unknown environment which meets the mobility requirement of USV without setting the initial value artificially.

关键词： Unnumned Surface Vehicle ((IS t) path planning genetic algorithm sequential quadratic programming

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Co-design of a Continuously Variable Transmission using sequential quadratic programming-based Control Optimization 21st

Co-design of a Continuously Variable Transmission using Sequ...

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21st IFAC World Congress on Automatic Control - Meeting Societal Challenges

作者： Fahdzyana, C. A. Donkers, M. C. F. Hofman, T. Eindhoven Univ Technol Eindhoven Netherlands

For systems with nonlinear dynamics, Dynamic programming for control is commonly considered in the framework of integrated plant and control system design. Despite its popularity, this control strategy can run into some computational issues as the performance is dependent on the state and input discretization. In this paper, we propose a sequential quadratic programming-based control optimization strategy for integrated system design, where both the plant and control are optimized for the case study of a continuously variable transmission. The proposed plant and control design problem will be solved using a nested strategy. Copyright (C) 2020 The Authors.

关键词： Multi-objective optimization optimization optimal control co-design sequential quadratic programming

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