检索结果-内蒙古大学图书馆

An Improved differential evolution algorithm for Optimal Location of Battery Swapping Stations Considering Multi-Type Electric Vehicle Scale evolution

引用

IEEE ACCESS 2019年 7卷 73020-73035页

作者： Wang, Shouxiang Yu, Lu Wu, Lei Dong, Yichao Wang, Hongkun Tianjin Univ Key Lab Minist Educ Tianjin 300072 Peoples R China Stevens Inst Technol Hoboken NJ 07030 USA

Scientific scale forecasting of multi-type electric vehicles (EVs) is critical to accurately analyze the planning and operation of battery-swapping stations (BSSs) and charging stations (CSs). This paper predicts the proportions of plug-in electric vehicles (PEVs), hybrid electric vehicles (HEVs), and battery-swapping electric vehicles (BSEVs) in the total EV fleet in multi-scenarios via a system dynamics (SD) method. Relying on the predicted evolution scale of the BSEVs and the service demand of BSSs calculated by the service radius (SR) method, an improved differential evolutional algorithm combing with Monte Carlo searching (IDEA-MCS) method is proposed to obtain the optimal location of BSSs in a certain region in Beijing, which achieves an economic optimum of BSSs under the battery-swapping mode (BSM) via centralized charging and unified distribution (CCAUD). The analytical results show that the proportion of the BSEVs in different scenarios is the major driver that impacts the location of BSSs. The distribution of BSSs' BS demand in the optimistic scenario is more inhomogeneous than that in the other scenarios. In addition, a cross-comparison of optimal profits in different scenarios is conducted to verify the optimality of BSS locations for a given scenario. Finally, the proposed IDEA-MCS method is compared with the DEA method and IDEA method to verify its optimality.

关键词： Battery-swapping station (BSS) differential evolution algorithm optimal location system dynamics (SD) method

来源：评论

学校读者我要写书评

暂无评论

Parameter identification of chaotic systems using improved differential evolution algorithm

引用

NONLINEAR DYNAMICS 2010年第1-2期61卷 29-41页

作者： Ho, Wen-Hsien Chou, Jyh-Horng Guo, Ching-Yi Natl Kaohsiung First Univ Sci & Technol Inst Syst Informat & Control Kaohsiung 824 Taiwan Kaohsiung Med Univ Dept Med Informat Management Kaohsiung 807 Taiwan

In this paper, an improved differential evolution algorithm, named the Taguchi-sliding-based differential evolution algorithm (TSBDEA), is proposed to solve the problem of parameter identification for Chen, Lu and Rossler chaotic systems. The TSBDEA, a powerful global numerical optimization method, combines the differential evolution algorithm (DEA) with the Taguchi-sliding-level method (TSLM). The TSLM is used as the crossover operation of the DEA. Then, the systematic reasoning ability of the TSLM is provided to select the better offspring to achieve the crossover, and consequently enhance the DEA. Therefore, the TSBDEA can be more robust, statistically sound, and quickly convergent. Three illustrative examples of parameter identification for Chen, Lu and Rossler chaotic systems are given to demonstrate the applicability of the proposed TSBDEA, and the computational experimental results show that the proposed TSBDEA not only can find optimal or close-to-optimal solutions but also can obtain both better and more robust results than the DEA.

关键词： differential evolution algorithm Taguchi sliding level method Chaotic systems

来源：评论

学校读者我要写书评

暂无评论

An improved free search differential evolution algorithm: A case study on parameters identification of one diode equivalent circuit of a solar cell module

引用

ENERGY 2015年第Part2期93卷 1515-1522页

作者： Hultmann Ayala, Helon Vicente Coelho, Leandro dos Santos Mariani, Viviana Cocco Askarzadeh, Alireza Pontif Catholic Univ Parana PUCPR Ind & Syst Engn Grad Program PPGEPS BR-80215901 Curitiba Parana Brazil Fed Univ Parana UFPR Dept Elect Engn BR-81531980 Curitiba Parana Brazil Pontif Catholic Univ Parana PUCPR Mech Engn Grad Program PPGEM BR-80215901 Curitiba Parana Brazil Grad Univ Adv Technol Inst Sci & High Technol & Environm Sci Dept Energy Management & Optimizat Kerman Iran

The present paper deals with the parameter identification of one diode model equivalent circuit of solar cell modules from real data acquired in different temperature conditions. We termed this procedure as an optimization problem and solved it through the FSDE (Free Search differential evolution) algorithm as well as a novel IFSDE (Improved FSDE) approach. The IFSDE is compared with other well-known metaheuristics, namely genetic algorithms, harmony search and particle swarm optimization, showing overall better results for the proposed IFSDE approach. In particular, the IFSDE is better in escaping local optima and obtained better results. Identified results are compared with acquired data, what shows the validity of the proposed algorithm. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： differential evolution algorithm Mathematical modeling Parameter identification Solar cells

来源：评论

学校读者我要写书评

暂无评论

Improved differential evolution algorithm for nonlinear programming and engineering design problems

引用

NEUROCOMPUTING 2015年 148卷 628-640页

作者： Tsai, Jinn-Tsong Natl Pingtung Univ Dept Comp Sci Pingtung 900 Taiwan

An improved differential evolution algorithm (IDEA) is proposed to solve nonlinear programming and engineering design problems. The proposed IDEA combines the Taguchi method with sliding levels and a differential evolution algorithm (DEA). The DEA has a powerful global exploration capability on macrospace and uses fewer control parameters. The systematic reasoning ability of the orthogonal array with sliding level and response table is used to exploit the better individuals on microspace to be potential offspring. Therefore, the proposed IDEA is well enhanced and balanced on exploration and exploitation. In this study, the sensitivity of evolutionary parameters for the performance of the IDEA is explored, and the IDEA shows its effectiveness and robustness compared with both the DEA and the real-coded genetic algorithm. The engineering design problems usually encounter a large number of design variables, a mix type of both discrete and continuous design variables, and many design constraints. The proposed IDEA is used to solve these engineering design optimization problems, and demonstrates its capability, feasibility, and robustness. From the computational experiments, the introduced IDEA can obtain better results and more prominent performance than the methods presented in the literatures. (C) 2014 Elsevier B.V. All rights reserved.

关键词： differential evolution algorithm Taguchi method Sliding level Engineering design problem

来源：评论

学校读者我要写书评

暂无评论

A novel differential evolution algorithm for joint replenishment problem under interdependence and its application

引用

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS 2012年第1期135卷 190-198页

作者： Wang, Lin He, Jing Wu, Desheng Zeng, Yu-Rong Univ Toronto RiskLab Toronto ON M5S 3G3 Canada Huazhong Univ Sci & Technol Sch Management Wuhan 430074 Peoples R China Hubei Univ Econ Sch Informat Management Wuhan 430205 Peoples R China

In this paper, we propose a new differential evolution (DE) algorithm for joint replenishment of inventory using both direct grouping and indirect grouping which allows for the interdependence of minor ordering costs. Since solutions to the joint replenishment problem (JRP) can be represented by integer decision variables, this makes the JRP a good candidate for the DE algorithm. The results of testing randomly generated problems in contrastive numerical examples and two extended experiments show that the DE algorithm provides close to optimal results for some problems than the evolutionary algorithm (EA), which has been proved to be an efficient algorithm. Moreover, the DE algorithm is faster than the EA for most problems. We also conducted a case study and application results suggest that the proposed model is successful in decreasing total costs of maintenance materials inventories significantly in two power companies. (C) 2011 Elsevier B.V. All rights reserved.

关键词： Joint replenishment Interdependence Minor ordering costs differential evolution algorithm

来源：评论

学校读者我要写书评

暂无评论

A modified Hammerstein modeling by the differential evolution algorithm

引用

SIGNAL IMAGE AND VIDEO PROCESSING 2024年第6-7期18卷 5099-5112页

作者： Chang, Wei-Der Shu Te Univ Dept Comp & Commun Kaohsiung 824 Taiwan

This paper focuses on the nonlinear system modeling based on using a modified Hammerstein system model. The proposed Hammerstein structure is composed of a bilinear neural network (BNN) and a recursive digital system in the cascaded form. The former is taken to be the nonlinear function part of the Hammerstein model, and the latter is used as the linear dynamic subsystem. The BNN is then constructed by the bilinear digital system and the recurrent neural network, which already possesses a satisfactory modeling capacity. To update all of adjustable parameters within the proposed Hammerstein model, a popular and powerful evolutionary computation called the differential evolution (DE) is utilized so that the model output can be closely to the actual nonlinear system output. Finally, a simulated nonlinear chemical process system, continuously stirred tank reactor (CSTR), is illustrated with the modeling phase and testing phase. Some experiment results as compared with another method from the subject literature are provided to demonstrate the feasibility of the proposed method and its good modeling.

关键词： Bilinear neural network Recursive digital system Hammerstein model differential evolution algorithm System modeling

来源：评论

学校读者我要写书评

暂无评论

Peak-to-Average Power Ratio Reduction in Lifting Based Wavelet Packet Modulation Systems Using differential evolution algorithm

引用

WIRELESS PERSONAL COMMUNICATIONS 2017年第3期94卷 1073-1086页

作者： Bozkurt, Yuksel Tokur Taspinar, Necmi Gaziantep Univ Vocat Sch Tech Sci Dept Elect & Automat Gaziantep Turkey Erciyes Univ Dept Elect & Elect Engn Kayseri Turkey

Integer wavelet transform (IWT) is an alternative to fast Fourier transform (FFT) in orthogonal frequency division multiplexing (OFDM) systems. It serves implementation flexibility and performance improvement by diminishing high side lobes, sensitivity to time and frequency synchronization. However, high PAPR of the transmitted signals is also a significant problem for IWT as in FFT based OFDM. One of the methods used for reducing the peak-to-average power ratio (PAPR) is partial transmit sequences (PTS) and this method requires an exhaustive search to obtain optimum reduction. This study examines the PAPR reduction potential of differential evolution algorithm based PTS scheme in lifting based wavelet packet modulation (LBWPM) system. The simulation results indicate that remarkable PAPR reduction performance with a low computational load for LBWPM system can be achieved using the proposed differential evolution based PTS scheme.

关键词： differential evolution algorithm Lifting based wavelet packet modulation Partial transmit sequences Peak-to-average power ratio

来源：评论

学校读者我要写书评

暂无评论

Hybrid Taguchi-differential evolution algorithm for optimization of multi-pass turning operations

引用

APPLIED SOFT COMPUTING 2013年第3期13卷 1433-1439页

作者： Yildiz, Ali R. Bursa Tech Univ Dept Mech Engn Bursa Turkey

Hybridizing of the optimization algorithms provides a scope to improve the searching abilities of the resulting method. The purpose of this paper is to develop a novel hybrid optimization algorithm entitled hybrid robust differential evolution (HRDE) by adding positive properties of the Taguchi's method to the differential evolution algorithm for minimizing the production cost associated with multi-pass turning problems. The proposed optimization approach is applied to two case studies for multi-pass turning operations to illustrate the effectiveness and robustness of the proposed algorithm in machining operations. The results reveal that the proposed hybrid algorithm is more effective than particle swarm optimization algorithm, immune algorithm, hybrid harmony search algorithm, hybrid genetic algorithm, scatter search algorithm, genetic algorithm and integration of simulated annealing and Hooke-Jeevespatter search. (C) 2012 Elsevier B. V. All rights reserved.

关键词： Hybrid optimization differential evolution algorithm Taguchi's method Manufacturing Turning

来源：评论

学校读者我要写书评

暂无评论

L∞ Metric based Multi-Objective differential evolution algorithm and its Industrial Application

引用

JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 2022年第3期38卷 645-663页

作者： Guo, Zhan Ersoy, Okan K. Yan, Xuefeng East China Univ Sci & Technol Key Lab Adv Control & Optimizat Chem Proc Minist Educ Shanghai 200237 Peoples R China Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47907 USA Tongji Univ Shanghai Inst Intelligent Sci & Technol Shanghai 200237 Peoples R China

In multi-objective optimization problems, the objective space of fitness functions has a close relationship with the solution space. Extracting the optimal direction and optimal parameter information are very useful for the optimization process. This paper proposes multi-objective differential evolution algorithm with a clustering based objective space division and parameter adaptation (MODECD). L. metric matrix based optimal strategy is used to split the objective space into sub-spaces and to extract the optimal directions. A fitness value based parameter adaptation and mutation strategy are used to extract the optimal strategy information. The results with 20 benchmark tests show the competitiveness of the MODECD algorithm in both convergence speed and diversity of solution approximating the Pareto front. In addition, MODECD is used to optimize the fermentation process of sodium gluconate as an example of its superior performance in solving real-world problems.

关键词： differential evolution algorithm L-infinity metric parameter adaptation multi-objective optimization sodium gluconate production

来源：评论

学校读者我要写书评

暂无评论

Optimal siting and sizing of renewable energy sources and charging stations simultaneously based on differential evolution algorithm

引用

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2015年第Dec.期73卷 1015-1024页

作者： Moradi, Mohammad H. Abedini, Mohammad Tousi, S. M. Reza Hosseinian, S. Mandi Bu Ali Sina Univ Dept Elect Engn Fac Engn Hamadan Iran Bu Ali Sina Univ Dept Civil Engn Fac Engn Hamadan Iran

Electric Vehicles (EVs) are seen to have some negative impacts on microgrid performance, such as diminishing power quality and efficiency and increasing power losses, voltage variations and even customer energy prices. This paper proposes a new method for evaluating the effect of integrating a large number of EVs on a power system and their impact on the network voltage profile via injecting reactive power into highly-loaded buses. A multi-objective optimization problem is developed to obtain the optimal siting and sizing of charging stations and renewable energy sources (RES). The optimization problem focuses on reducing power losses, improving voltage stability of the system and reducing charging costs of EVs. In order to increase the network load factor some coefficients are introduced. Such coefficients, which depend on wind speed, solar irradiance and hourly peak demand ratio in the load characteristic of day-ahead, help aggregators to charge their EVs in off-peak hours. differential evolution (DE) algorithm is used for solving the optimization problem. The performance of the proposed method is evaluated for 69-bus and 94-bus microgrids. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： differential evolution algorithm Electric vehicle charging stations Renewable energy sources Autonomous microgrid

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：