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A hybrid ant colony algorithm for the Cutting Stock Problem

A hybrid ant colony algorithm for the Cutting Stock Problem

引用

2010 International Conference on Future Information Technology and Management Engineering, FITME 2010

作者： Peng, Jin Chu, Zhang Shu School of Management Hefei University of Technology Key Laboratory Process Optimization and Intelligent Decision-Making Ministry of Education Hefei Anhui Province China

ISBN: (纸本)9781424490882

This study presents a new hybrid ant colony algorithm (HACO) to solve an in integer linear programming formulation of the Cutting Stock Problem(CSP). The CSP is an important class combinatorial problem. It is appropriate to minimize the raw material used by industries for fulfilling customer's demands. In such cases, classic models for solving the cutting stock problem are useless. HACO consists of GDCP procedure and modified ACO (MACO). GDCP procedure provides dominative cutting patterns as MACO solution components, in MACO the pheromone trail is put on cutting patterns instead of items. MACO preserves cutting patterns and frequencies information under ants building solution procedure. Results obtained from computational experiments for ten benchmarks demonstrate that the performance of MACO is compared to that obtained using existing mete-heuristic algorithm. © 2010 IEEE.

关键词： Heuristic algorithms

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Multi agent negotiation model for distributed task allocation

Multi agent negotiation model for distributed task allocatio...

引用

2010 2nd IEEE International Conference on Information Management and Engineering, ICIME 2010

作者： Luo, He Hu, Xiao-Jian Hu, Xiao-Xuan School of Management Hefei University of Technology Hefei China Key Laboratory of Ministry of Education on Process Optimization and Intelligent Decision Making Hefei China

ISBN: (纸本)9781424452644

In the multi agent system, negotiation between different agents becomes more and more complex when the distributed tasks need to be allocated among them. Usually, this process has been done in the centralized way where agents have all the information of both the tasks and the environment. However, in the real application such as satellite scheduling problem or production scheduling problem, not all the information can be acquired, some of them even cannot be known. Therefore, in this paper, we propose a multi agent negotiation model for distributed task allocation in a priority based environment. This process is modeled as a finite Markov decision process (F-MDP), and a coordinated negotiation protocol is also suggested to support the model. The experiments show that tasks are allocated in an efficient way, and it can also reduce the communication cost. © 2010 IEEE.

关键词： Multi agent systems

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Reasearch on the technology of electronic sand table based on GIS

Reasearch on the technology of electronic sand table based o...

引用

International Conference on Information Science and Engineering

作者： Chen, Haihan Lu, Zhitang Key Laboratory of Process Optimization and Intelligent Decision-making Hefei University of Technology Ministry of Education Hefei China School of Resources and Environmental Engineering Hefei University of Technology Hefei China

ISBN: (纸本)9781424480968

Electronic sand table is a new high-tech product by integrating computer application, geographic information systems (GIS) and virtual reality with multimedia. In this paper, an electronic sand table system of target areas is made under the platform of ArcGIS. The design and realization scheme of electronic sand table system is introduced at first. Then, the key techniques for electronic sand table, such as data processing, terrain modeling and feature matching, are described in details. Finally, the electronic sand table system is carried out on the platform of ArcGIS based on digital elevation model (DEM) and satellite remote sensing image. It can give users a real-time and interactive operation circumstance, and provide some references for the decision-makers to get a better understanding of the regions. © 2010 IEEE.

关键词： Remote sensing

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The selection of project management software by FAHP and FMCDM in automobile R&D process

The selection of project management software by FAHP and FMC...

引用

International Conference on Networking and Digital Society, ICNDS

作者： Lei Fu Li Shi Ying Yang Bengong Yu Key Laboratory of Process Optimization & Intelligent Decision-making of Ministry of Education School of Management Hefei University of Technology Hefei China

ISBN: (纸本)9781424451623;9781424451616

The selection of project management (PM) software is a complex issue and has significant impacts to the efficiency of the automobile research & development (R&D) process. Given two alternatives based on critical path method (CPM) and critical chain project management (CCPM) respectively, decision-makers usually cause confusion. This paper analyzed the characteristic of automobile R&D project and developed an evaluation model based on the fuzzy analytic hierarchy process (FAHP) and fuzzy multiple criteria decision making (FMCDM) methods, which can help the managers in automobile industry to select more appropriate software in the course of product R&D. In particular, the FAHP method is used to obtain the weights of evaluation criteria, and the FMCDM method is used to determine the final rank of the software. The uncertainty and vagueness in evaluation procedure were presented as the fuzzy triangular numbers. The proposed method is applied to the case study of evaluating the performance of PM software based on CPM and CCPM respectively for a car manufacturer. The result of evaluation not only assisted managers in choosing suitable software but also outline the trend in development of CCPM software.

关键词： Project management Automobiles Research and development Research and development management Software development management decision making Computer industry Software performance Application software Job shop scheduling

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Compression of OLAP Cubes for Aggregate Queries Based on Copula Approach

Compression of OLAP Cubes for Aggregate Queries Based on Cop...

引用

International Conference on Business Intelligence and Financial Engineering, BIFE

作者： Yazhuo Gao Zhiwei Ni Liping Ni School of Management Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei University of Technology Hefei China

This paper introduces Copula approach, which has been widely used in statistical field, to the construction of OLAP cubes for the first time. Based on this approach, a novel scheme is proposed to compress data and answer any OLAP query without accessing raw data. The procedure of this scheme can be generally divided into three steps. Firstly, find the proper distribution functions to fit the marginal distribution of each attribute. Secondly, employ Copula approach to catch the intra relationship among attributes in a data set. Finally, use the probability density function of joint distribution to calculate the aggregation function. Empirical evidence shows that this Copula-based model can not only drastically reduce storage requirements but also save the query response time, while the accuracy is bounded under a given level.

关键词： Data models Aggregates Joints Mathematical model Distribution functions Equations Computational modeling

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Multi Agent Negotiation Model for Distributed Task Allocation

Multi Agent Negotiation Model for Distributed Task Allocatio...

引用

2010 2nd IEEE International Conference on Information Management and Engineering(2010年IEEE第二届信息管理与工程国际会议 IEEE ICIME 2010)

作者： He Luo Xiao-jian Hu Xiao-xuan Hu School of ManagementHefei University of TechnologyHefei China Key Laboratory of the Ministry of Education on ProcessOptimization & Intelligent Decision MakingHefe Key Laboratory of the Ministry of Education on Process Optimization & Intelligent Decision Making He

In the multi agent system, negotiation between different agents becomes more and more complex when the distributed tasks need to be allocated among them. Usually, this process has been done in the centralized way where agents have all the information of both the tasks and the environment. However, in the real application such as satellite scheduling problem or production scheduling problem, not all the information can be acquired, some of them even cannot be known. Therefore, in this paper, we propose a multi agent negotiation model for distributed task allocation in a priority based environment. This process is modeled as a finite Markov decision process (FMDP), and a coordinated negotiation protocol is also suggested to support the model. The experiments show that tasks are allocated in an efficient way, and it can also reduce the communication cost.

关键词： Multi-Agent task allocation negotiation markov decision process

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A hybrid ant colony algorithm for the Cutting Stock Problem

A hybrid ant colony algorithm for the Cutting Stock Problem

引用

International Seminar on Future Information Technology and Management Engineering, FITME

作者： Jin Peng Zhang Shu Chu School of Management Key Laboratory Process Optimization and Intelligent Decision-Making Ministry of Education Hefei University of Technology Hefei Anhui China

ISBN: (纸本)9781424490875

关键词： Optimized production technology Bismuth Benchmark testing

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Evaluation of R&D projects with uncertainty based on evidence reasoning

Evaluation of R&D projects with uncertainty based on evidenc...

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International Conference on Logistics Systems and Intelligent Management (ICLSIM)

作者： Ying Yang Bengong Yu Lei Fu Haojie Shen Key Laboratory of Process Optimization & Intelligent Decision-making of Ministry of Education School of Management Hefei University of Technology Hefei China Chery Automobile Company Limited Wuhu China

This paper presents an assessment model for research and development (R&D) projects considering uncertainty in their overall life cycle. Technology maturity and competitive advantages were considered and a Balanced Scorecard (BSC) model was developed to evaluate R&D projects. Based on the multilevel evaluation framework, an evidence reasoning approach has been developed to aggregate the numerical data and qualitative information with uncertainty. The expected utility is applied to describe preferences of decision-makers in the decision process. A case study in the context of automobile R&D projects is given to illustrate the methods.

关键词： Uncertainty Research and development Automobiles Aggregates Data envelopment analysis Laboratories decision making Technology management Educational technology Electronic mail

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A Novel PSO for Multi-stage Portfolio Planning

A Novel PSO for Multi-stage Portfolio Planning

引用

International Conference on Artificial Intelligence and Computational Intelligence (AICI)

作者： Zhangjun Wu Zhiwei Ni Chang Zhang Lichuan Gu Institute of Intelligent Management Hefei University of Technology China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education China

In this paper, we present a decision-making process that uses our proposed quasi-oppositional comprehensive learning particle swarm optimizers (QCLPSO) to solve multi-period portfolio problem. Multi-stage stochastic financial optimization takes order with portfolio in ever-changing financial markets by periodically rebalancing the asset portfolio to achieve return maximization and/or risk minimization. It brings together all major financial-related decision in a single consistent structure and integrates investment strategies, liability decisions and savings strategies in an all-around fashion. The objective function is classical return-variance function. The performance of our algorithm is demonstrated by optimizing the allocation of cash and various stocks in SSE 180 Index. Experiments are conducted to compare performance of the portfolio optimized by different objective functions with PSO and genetic algorithm (GA) in the terms of efficient frontiers.

关键词： Portfolios Stochastic processes Quantum cascade lasers Investments Asset management Risk management decision making Uncertainty Mathematical model Computational and artificial intelligence

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Extension CBR Retrieval

Extension CBR Retrieval

引用

International Conference on Artificial Intelligence and Computational Intelligence (AICI)

作者： Zhiwei Ni Dan Han Gongrang Zhang Yazhuo Gao School of Management Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei China

When the case information is described in natural language and not complete, to deal with problems of case retrieval in Case-Based Reasoning (CBR), Extension theory is introduced to aid it. Firstly, the case index is created based on the Extension model. Secondly, the main characteristics of the case are formalized to store in the case base to realize the data compression. Finally, case retrieval algorithm is designed. The basic and the advanced retrieve strategy supplement each other. This algorithm lowers the request of the professional level and improves the efficiency of retrieval. The approach is of practical significance in problem solving, such as auto fault diagnosis.

关键词： Information retrieval Artificial intelligence Problem-solving Fault diagnosis Competitive intelligence Data compression Algorithm design and analysis Intelligent systems Mathematics Computational intelligence

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