检索结果-内蒙古大学图书馆

Studies on the Job-shop Scheduling Problem Based on plant growth simulation algorithm

微计算机信息 2010年第30期 4-7页

作者： DING Xue-feng MA Liang YOU Jian-xin DING Xue-song(Tongji University School of Economics and Management,Shanghai 200092,China) (University of Shanghai for Science and Technology Management Institute,Shanghai 200093,China)(Changchun University of Science and Technology Computer Institute,Jilin Changchun 130022,China)(Jilin University Business Institute,Jilin Changchun,130000,China)

To solve the job-shop scheduling problem efficiently and easily,a solution method——plant growth simulation algorithm is *** aim at the job-shop flow,by defining the evaluating index of the job-shop working efficiency,a mathematic model of job-shop scheduling is ***,by means of calculating of the real instance and comparing with other optimal algo-rithms,the results show that the optimum can be reached,while the efficiency of the presented algorithm is reasonably better than some other methods.

关键词： Job-shop scheduling phototropism morphactin concentration plant growth simulation algorithm

来源：评论

学校读者我要写书评

暂无评论

A Hybrid Search Optimization Technique Based on Evolutionary Learning in plants

A Hybrid Search Optimization Technique Based on Evolutionary...

引用

7th International Conference on Swarm Intelligence (ICSI)

作者： Bhattacharjee, Deblina Paul, Anand Kyungpook Natl Univ Dept Comp Sci & Engn 80 Daehak Ro Daegu 702701 South Korea

ISBN: (纸本)9783319410005;9783319409993

In this article, we have proposed a search optimization algorithm based on the natural intelligence of biological plants, which has been modelled using a three tier architecture comprising plant growth simulation algorithm (PGSA), Evolutionary Learning and Reinforcement Learning in each tier respectively. The method combines the heuristic based PGSA along with Evolutionary Learning with an underlying Reinforcement Learning technique where natural selection is used as a feedback. This enables us to achieve a highly optimized algorithm for search that simulates the evolutionary techniques in nature. The proposed method reduces the feasible sets of growth points in each iteration, thereby reducing the required run times of load flow, objective function evaluation, thus reaching the goal state in minimum time and within the desired constraints.

关键词： plant growth simulation algorithm Evolutionary learning Reinforcement learning plant intelligence Search optimization

来源：评论

学校读者我要写书评

暂无评论

An approach to determining the integrated weights of decision makers based on interval number group decision matrices

引用

KNOWLEDGE-BASED SYSTEMS 2015年 90卷 92-98页

作者： Liu, Wei Li, Lei Jiangnan Univ Sch Business Wuxi 214122 Jiangsu Peoples R China

In this paper, we develop an approach to determining the integrated weights of decision makers (DMs) with interval numbers in multiple attribute group decision making (MAGDM) problems. We first map the interval numbers of each DM's decision matrix into two-dimensional coordinates. The interval number values correspond to the coordinate values one to one. By integrating up-front subjective weight assignment with the relative importance of the DMs simultaneously, we derive the adjusted subjective DM weights. Based on the adjusted subjective weights, a plant growth simulation algorithm (PGSA) is used to find the generalized Fermat-Torricelli point of every point set, i.e., the optimal rally points that reflect the preferences of the DM group as a whole. From the mapping relationship, the generalized Fermat-Torricelli points constitute the ideal interval number decision matrix. Using deviation distance between each DM's decision matrix and the DM group's ideal matrix, we then obtain the degree of similarity indexes of the DMs. Next, by normalizing the degree of similarity indexes, we calculate the objective DM weights. Finally, we derive the stable integrated DM weights by combining the adjusted subjective weights and the objective weights. In addition, a numerical example is provided to illustrate the efficiency and reasonableness of the proposed approach. (C) 2015 Elsevier B.V. All rights reserved.

关键词： Multiple attribute group decision making Integrated weights Aggregation plant growth simulation algorithm Interval numbers

来源：评论

学校读者我要写书评

暂无评论

Optimal DG Placement and Sizing for Power Loss Reduction in a Radial Distribution System using MPGSA and Sensitivity Index Method

Optimal DG Placement and Sizing for Power Loss Reduction in ...

引用

IEEE Conference on Industrial Electronics and Applications

作者： Mohammed Kdair Abd S. J. Cheng H. S. Sun Sch. of Electrical & Electronics Eng. Huazhong University of Science & Technology Wuhan Hubei Province China

ISBN: (纸本)9781467386456

This paper presents a new Maximum Power Loss Sensitivity (MPLS) method and Modified plant growth simulation algorithm (MPGSA) to find the optimal placement and size of Distributed Generation (DG). This study aims to reduce the total power loss and to improve the voltage profile. The proposed solution method has two steps: first, the MPLS is used to select the optimal position of the DG. Second, the MPGSA is used to find the optimal capacity of DG and then applied on an IEEE 33-bus system. However, this proposal can be implemented for renewable and non-renewable DGs. The results of the proposed algorithm were superior to the other methods in terms of minimizing the power loss and enhancing the voltage profile.

关键词： Distributed Generation Power Loss Voltage Profile plant growth simulation algorithm

来源：评论

学校读者我要写书评

暂无评论

A Refined plant growth simulation algorithm for Distribution Network Reconfiguration

A Refined Plant Growth Simulation Algorithm for Distribution...

引用

IEEE International Conference on Intelligent Computing and Intelligent Systems

作者： Ye, Jing Wang, Fang Zong China Three Gorges Univ Coll Elect Engn & Informat Technol Yichang 443002 Peoples R China

ISBN: (纸本)9781424447541

A refined plant growth simulation approach has been proposed in this paper for distribution network reconfiguration The proposed method combines the heuristic exchange rule used in branch exchange algorithms into the plant growth simulation algorithm for growth points search The proposed method reduces dramatically the feasible sets of growth points in each iterative step, thus reduces the required run times of load flow, objective e function evaluation and morphactin concentration calculation The effectiveness of the proposed method has been tested and verified on IEEE 33 bus distribution system

关键词： distribution system network reconfiguration plant growth simulation algorithm heuristic exchange rule

来源：评论

学校读者我要写书评

暂无评论

Distribution Network Reconfiguration and its algorithm

Distribution Network Reconfiguration and its Algorithm

引用

2015 International Industrial Informatics and Computer Engineering Conference(IIICEC 2015)

作者： Huixia Sun Yueguang Li Gansu Normal University for Nationalities

In this paper,a plant growth simulation algorithm was used to solve distribution network *** effectiveness of the proposed method has been tested and verified on IEEE 33 bus distribution system,the experimental results show that the plant growth simulation algorithm has better feasibility and validity for solving distribution network reconfiguration.

关键词： plant growth simulation algorithm Network reconfiguration Distribution heuristics

来源：评论

学校读者我要写书评

暂无评论

A Refined plant growth simulation algorithm for Distribution Network Reconfiguration

A Refined Plant Growth Simulation Algorithm for Distribution...

引用

2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(ICIS2009)

作者： Jing Ye,Fang Zong Wang College of electrical engineering and information technology China Three Gorges University Yichang 443002,China

A refined plant growth simulation approach has been proposed in this paper for distribution network *** proposed method combines the heuristic exchange rule used in branch exchange algorithms into the plant growth simulation algorithm for growth points *** proposed method reduces dramatically the feasible sets of growth points in each iterative step,thus reduces the required run times of load flow,objective function evaluation and morphactin concentration *** effectiveness of the proposed method has been tested and verified on IEEE 33 bus distribution system.

关键词： distribution system network reconfiguration plant growth simulation algorithm heuristic exchange rule

来源：评论

学校读者我要写书评

暂无评论

Application of Enhanced Honey-Bee Mating Optimization algorithm to Fault Section Estimation in Power Systems

引用

IEEE TRANSACTIONS ON POWER DELIVERY 2013年第3期28卷 1944-1951页

作者： Huang, Shyh-Jier Liu, Xian-Zong Su, Wei-Fu Ou, Ting-Chia Natl Cheng Kung Univ Dept Elect Engn Tainan 701 Taiwan Kun Shan Univ Dept Elect Engn Tainan 710 Taiwan Inst Nucl Energy Res Nucl Instrumentat Div Tao Yuan 325 Taiwan

An application of plant growth simulation algorithm-enhanced honey-bee mating optimization is proposed to solve the fault section estimation problem in a power system. This approach is proposed because the local search capability of the honey-bee mating optimization is highly dependent on the parameter decisions. An inappropriate selection of parameters may affect the computation efficiency. This paper hence has added the plant growth simulation algorithm to enhance the honey-bee mating optimization so that the work of external parameter settings can be economized while the overall computation can be improved. In order to validate the effectiveness of this method, we have conducted the approach on practical power systems. Test results confirm the feasibility of this proposed method for the application considered.

关键词： Fault section estimation honey-bee mating optimization plant growth simulation algorithm

来源：评论

学校读者我要写书评

暂无评论

Fault Location of Distribution Network Based on plant growth simulation algorithm

Fault Location of Distribution Network Based on Plant Growth...

引用

2008 International Conference on High Voltage Engineering and Application

作者： Wu Na Jiao Yan-jun Yu Jian-tao North China Elect Power Univ Baoding 071003 Hebei Province Peoples R China North China Langfang Power Supply Co Langfang 065000 Peoples R China

ISBN: (纸本)9781424428090

A novel plant growth simulation algorithm is proposed for fault location of distribution network in this paper. It presents a way to transform the currents of switches and equipments into integer variables, sets up a model for fault location of distribution network. simulation tests proved the correctness, effectiveness as well as the high fault tolerance of the above plant growth simulation algorithm based model. It creates a new field for fault location of distribution network.

关键词： plant growth simulation algorithm objective function constraint distribution network fault location

来源：评论

学校读者我要写书评

暂无评论

Planning for distributed wind generation under active management mode

引用

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2013年第1期47卷 140-146页

作者： Zhang, Jietan Fan, Hong Tang, Wenting Wang, Maochun Cheng, Haozhong Yao, Liangzhong Qinghai Elect Power Co Xining 810008 Qinghai Provinc Peoples R China Shanghai Univ Elect Power Elect Power & Automat Engn Shanghai 200090 Peoples R China Shanghai Jiao Tong Univ Dept Elect Engn Shanghai 200240 Peoples R China Alstom Grid Stafford ST17 4LX England

In the smart grid (SG), the active management (AM) mode will be applied for the connection and operation of distributed generation (DG), which means real time control and management of DG units and distribution network devices based on real time measurements of primary system parameters. In this paper, a novel bi-level programming model for distributed wind generation (DWG) planning under AM mode is put forward. The model takes the maximum expectation of net benefit of DWG as the upper level program objective, and takes the minimum expectation of generation curtailment as the lower level program objective. The impact of active management algorithm on improvement of branch power flow and node voltage is taken into account. A hybrid algorithm combining the plant growth simulation algorithm (PGSA) with probabilistic optimal power flow (POPF) algorithm is presented to solve the optimal planning of DWG under AM mode. The case studies have been carried out on a 33-node distribution network, and the results verify the rationality of the planning model and the effectiveness of the proposed method. (c) 2012 Elsevier Ltd. All rights reserved.

关键词： Active management Distributed wind generation Distribution network Planning plant growth simulation algorithm Probabilistic optimal power flow

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：