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23rd Chinese Control and Decision Conference

作者： Zhang, Jie Xu, Lingmin Niu, Xinyu Northeast Dianli Univ Coll Sci Dept Math Jilin Peoples R China

ISBN: (纸本)9781424487363

This paper studies the short-term electric power load forecasting. First, we use the product of polynomial functions and Fourier series as a function of load trends. After that the goal programming model of parameter estimation is established, and it is solved by the pattern search method. Finally the model is tested through the actual load data in a region from May 27th, 2008 to June 2nd, 2008. The relative error of prediction is 2.44%.

关键词： electric power load forecasting objective programming pattern search method

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Short-Term Electric Power Load Forecasting Based on Goal programming Model

Short-Term Electric Power Load Forecasting Based on Goal Pro...

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2011 Chinese Control and Decision Conference（CCDC）

作者： Jie Zhang 1 Lingmin Xu2 Xinyu Niu3 Department of Mathematics,College of science,Northeast Dianli University JiLin City,China

This paper studies the short-term electric power load ***,we use the product of polynomial functions and Fourier series as a function of load *** that the goal programming model of parameter estimation is established,and it is solved by the pattern search *** the model is tested through the actual load data in a region from May 27th,2008 to June 2nd,*** relative error of prediction is 2.44%.

关键词： electric power load forecasting objective programming pattern search method

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Short-Term Electric Power Load Forecasting Based on Goal programming Model

Short-Term Electric Power Load Forecasting Based on Goal Pro...

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2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

作者： Jie Zhang Lingmin Xu Xinyu Niu with the department of mathematics college of scienceNortheast Dianli UniversityJilin CityChina

关键词： electric power load forecasting objective programming pattern search method

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Integrating berth allocation and quay crane assignments

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TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW 2010年第6期46卷 975-990页

作者： Chang, Daofang Jiang, Zuhua Yan, Wei He, Junliang Shanghai Maritime Univ Minist Educ Container Supply Chain Technol Engn Res Ctr Shanghai 200135 Peoples R China Shanghai Jiao Tong Univ Sch Mech Engn Shanghai 200240 Peoples R China

In this study, a dynamic allocation model using objective programming for berth allocation and quay crane assignments was preliminarily developed based on rolling-horizon approach. Afterwards, a hybrid parallel genetic algorithm (HPGA), which combined parallel genetic algorithm (PGA) and heuristic algorithm, was employed to resolve the proposed model. Furthermore, a simulation was conducted to evaluate the HPGA and to execute relevant gene repair techniques. Eventually, the numerical experiments on a specific container terminal were applied to illustrate the proposed models and algorithms. In so doing, the effectiveness of the proposed approach was verified. Crown Copyright (C) 2010 Published by Elsevier Ltd. All rights reserved.

关键词： Berth allocation Quay crane assignments objective programming Rolling-horizon technique Heuristic algorithm Parallel genetic algorithm

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A hybrid parallel genetic algorithm for yard crane scheduling

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TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW 2010年第1期46卷 136-155页

作者： He, Junliang Chang, Daofang Mi, Weijian Yan, Wei Shanghai Maritime Univ Minist Educ Container Supply Chain Technol Engn Res Ctr Shanghai 200135 Peoples R China Shanghai Jiao Tong Univ Sch Mech Engn Shanghai 200030 Peoples R China Shanghai Maritime Univ Sch Logist Engn Shanghai 200135 Peoples R China

This paper aims at postulating a novel strategy in terms of yard crane scheduling. In this study, a dynamic scheduling model using objective programming for yard cranes is initially developed based on rolling-horizon approach. To resolve the NP-complete problem regarding the yard crane scheduling, a hybrid algorithm, which employs heuristic rules and parallel genetic algorithm (PGA), is then employed. Then a simulation model is developed for evaluating this approach. Finally, numerical experiments on a specific container terminal yard are used for system illustration. Computational results suggest that the proposed method is able to solve the problem efficiently. (C) 2009 Elsevier Ltd. All rights reserved.

关键词： Yard crane scheduling objective programming Heuristic rules Parallel genetic algorithm Simulation model

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Study on Conversion of Customer Needs in Product Development

Study on Conversion of Customer Needs in Product Development

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Global Conference on Digital Design and Manufacturing Technology

作者： Zeng, Fuhong Zhou, Lanhua Panzhihua Univ Panzhihua 617000 Peoples R China

ISBN: (纸本)087849278X

In order to translate the Customer Needs (CN) for the specific product into the right Technical Requirements (TR), the structure of conventional House of Quality (HOQ) is modified to have HOQ fit in with the needs of multi-attribute decision-making. Then, an objective programming Model (OPM) based on HOQ is constructed, which fully considers the design team's experience, and the interdependence between CN and TR, and the inner-dependences within themselves, along with resource limitations, and multi-objective nature of the problem. The target values of TR are obtained by solving the OPM using MATLAB, which can fully meet the CN. Finally an example is given, and the OPM is proved to be reasonable and effective.

关键词： Quality function deployment House of quality objective programming

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Study on the logistics distribution model and it's the robust optimization method under the uncertain production cost

Study on the logistics distribution model and it's the robus...

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2010 International Conference on Computer and Communication Technologies in Agriculture Engineering (CCTAE 2010)

作者： Jian xu Financial Department Zhengzhou University of Light Industry Zhengzhou,China Huang min School of Computer and Communication Engineering, Zhengzhou University of Light Industry Zhengzhou,China

The main difficulty of a logistic management problem is in the face of uncertainty about the *** many logistic model encounter uncertainty and noisy data in which variables or parameters have the probability of *** this paper,the problem of the logistics distribution under the uncertain production cost is *** changes of production cost are described in the different *** the relationship between demand and price is described by denoting the classical demand theory of *** the robust linear programming approach,on the basis of the robust operation model of the logistics distribution,the optimum operating strategy with the uncertain production cost is *** a model of numeral example and using it to verify the model.

关键词： uncertainty robust optimization objective programming logistics distribution

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An investigation into berth allocation and quay crane assignment based on hybrid parallel genetic algorithm

An investigation into berth allocation and quay crane assign...

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International Conference on Artificial Intelligence and Computational Intelligence

作者： He, Junliang Mi, Weijian Chang, Daofang Yan, Wei Shanghai Maritime Univ Logist Engn Sch Shanghai 200135 Peoples R China Shanghai Jiao Tong Univ Sch Mech Engn Shanghai 200130 Peoples R China

ISBN: (纸本)9780769538167

A rolling-horizon approach was proposed, which aims at the problem of berth allocation and quay crane assignment. Then a dynamic allocation model using objective programming was initially developed for berths allocation and quay crane assignment, which more closes realistic as result of basing continuum quayside. The model objective function was subject to the minimization of the total berthing location deviation, the total penalty and the energy consumption of quay cranes. Then, a hybrid parallel genetic algorithm (HPGA) was employed for solving the model, which combines parallel genetic algorithm (PGA) and heuristic Algorithm. Furthermore, a simulation model integrating HPGA was developed for evaluating this HPGA and executing gene repair techniques to repair the unfeasible individuals generated by HPGA. Finally, case study on a specific container terminal was used for system illustration, and then verified the validity and usefulness of this model and algorithm.

关键词： berth allocation quay crane assignment objective programming rolling-horizon technique heuristic algorithm parallel genetic algorithm

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Research on Optimization Model of Initial Schedule of Passenger Trains Based on Improved Genetic Algorithm

Research on Optimization Model of Initial Schedule of Passen...

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2nd International Conference on Intelligent Computation Technology and Automation

作者： Ni Shaoquan Chen Dingjun Lv Miaomiao SW Jiaotong Univ Sch Traff & Transportat Chengdu 610031 Sichuan Peoples R China

ISBN: (纸本)9780769538044

Train schedule is the base of train organization as well as the fundamental working plan of transportation department. The running scheme of passenger train whose essence is to determine the initial schedule decides the skeleton of making the passenger train schedule. Present literatures researching train scheme considers the convenience for passenger travel or arrival and departure track dependently. On the basis of analyzing some constraint conditions such as the convenient to the passengers and the coordinate utilization of arrival and departure tracks and parking lines for rolling stock, taking the minimum of passenger carriage as the objective function, this paper establishes an objective programming model for optimizing the initial schedule of passenger trains, and puts forward a method for the model which is basing on improved Genetic Algorithm. The original time and the end time of passenger trains that satisfy the convenience to the passengers, economical carriage and the coordination between the utilization of arrival and departure tracks and parking tines for rolling stock can be obtained expediently by using this model.

关键词： passenger train train schedule running scheme objective programming

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Genetic Algorithms for Forest Harvest Adjustment

Genetic Algorithms for Forest Harvest Adjustment

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1st International Conference on Future Computer and Communication (FCC 2009)

作者： Tang Daisheng Chen Shaojian Bian Fuling Wan Xixi Wuhan Univ Res Ctr Spatial Informat & Digital Engn Luoyu Rd 129 Wuhan 430079 Hubei Peoples R China Cent South Univ Forestry & Technol Coll Forestry Chargsha 410004 Hunan Peoples R China

ISBN: (纸本)9780769536767

Genetic algorithms, owning to their characteristics of intrinsic parallel mechanism and full optimization, can be used to search for solutions for objective programming. In this study, empirical study method was combined with the multi-objective optimization to develop a multi-objective forest harvest adjustment model by introducing Pareto multi-objective genetic algorithm into optimization model. This methodology was applied to Fengshu Moutain tree farm, Jiangxi province and the obtained results showed that integrating of the genetic algorithm with the multi-objective programming of the forest harvest adjustment led to non-inferior solution set which provided much greater choice space for decision-making. Moreover, this method overcame the shortcomings that exist in the original harvest adjustment procedure in which different objective weight values are needed. In addition, the genetic algorithm successfully achieved the adjustment of Masson Pine age-class area and balancing rate as well as increased volume and volume yield per unit area.

关键词： Pareto Multi-objective genetic algorithm Forest harvest adjustment objective programming

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