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IEEE International Conference on Industrial Informatics (INDIN)

作者： Ana Almeida Goreti Marreiros Knowledge Engineering and Decision Support Research (GECAD) unit the Institute of Engineering Polytechnic of Porto Porto Portugal

The scheduling process involves many actors representing different manufacturing perspectives, such as management, customer-service, manufacturing, quality assurance and distribution. There is a great need to give support to those actors. In this work we propose to address the scheduling problem through a collaborative framework Our model considers the interaction between an agent based scheduling module and a group decision support module. The agent based scheduling module encapsulate several scheduling algorithms generating a set of candidate solutions, each one of them according a specific criteria. The group decision support module supports the interaction between the scheduling actors envisaging the selection of a scheduling solution.

关键词： Job shop scheduling Collaborative work knowledge engineering decision support systems Manufacturing processes Humans Dynamic scheduling International collaboration Production planning Control systems

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Proposal of multi-agent based model for dynamic scheduling in manufacturing

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WSEAS Transactions on Information Science and Applications 2005年第5期2卷 600-605页

作者： Madureira, Ana Santos, Joaquim Computer Science Department Institute of Engineering - Polytechnic of Porto GECAD - Knowledge Engineering and Decision Support Research Group Porto Portugal

Some recent trends in manufacturing in particular and business in general, lead to new approaches regarding the organisation and software architecture, mainly adopting distributed solutions. Such organisations imply organisational and technological evolution through agility, distribution, decentralisation, reactivity and flexibility. New organisational and technological paradigms are needed in order to reply to the modern manufacturing systems challenges. The Multi-Agent paradigm represents one of the most promising approaches to build complex, flexible, and cost-effective scheduling systems because of its distributed and dynamic nature. Modelling the Scheduling of Manufacturing Systems by means of two technologies like Meta-Heuristics and Multi-Agent Systems seems to be an interesting way to see Industrial Systems in the future. A multi-agent based model for support dynamic scheduling in manufacturing environments is proposed.

关键词： Multi agent systems

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Multidimensional service-oriented ontology mapping

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International Journal of Web engineering and Technology 2005年第1期2卷 50-80页

作者： Silva, Nuno Rocha, João GECAD Knowledge Engineering and Decision Support Research Group Institute Superior de Engenharia do Porto 4200-072 Porto Portugal

Ontology mapping is the process whereby semantic relations are defined between two ontologies at conceptual level, which in turn are applied at data level transforming source ontology instances into target ontology instances. This paper focuses on the formalisation, representation and automatic specification of semantic relations between two ontologies. The described approach grounds on the notion of service, which represents not only the transformation capabilities of the system, but also the expertise in the manipulation of semantic relations. The main contributions of this paper are the formalisation of the ontology mapping process and the specification of the multidimensional service-oriented architecture. Copyright © 2005 Inderscience Enterprises Ltd.

关键词： Mapping

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Optimal short-term contract allocation using particle swarm optimization

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WSEAS Transactions on Information Science and Applications 2005年第5期2卷 552-558页

作者： Azevedo, Filipe Vale, Zita A. GECAD - Knowledge Engineering and Decision Support Research Group Institute of Engineering - Polytechnic of Porto Rua Dr. Antonio Bernardino Almeida 431 - 4200-072 Porto Portugal

In a liberalized electricity market, participants have several types of contracts to sell or buy electrical energy. Increasing electricity markets liquidity and, simultaneously, providing to market participants tools for hedging against spot electricity price were the two main reasons for the appearance of those types of contracts. However, due to the payoff nonlinearity characteristic of those contracts, deciding the optimal portfolio that best adjusts to their necessities becomes a hard task. This paper presents an optimization model applied to optimal contract allocation using Particle Swarm Optimization (PSO). This optimization model consists on finding the portfolio that maximizes the electricity producer results and simultaneously allows the practice of the hedge against the volatility of the System Marginal Price (SMP). Risk management is considered through the consideration of a mean-variance optimization function. An example for a programming period is presented using spot, forward and options contracts. PSO performance in such type of problems is evaluated by comparing it with the Genetic Algorithms (GA).

关键词： Optimization

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A decision-support simulation tool for virtual power producers

A decision-support simulation tool for virtual power produce...

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International Conference on Future Power Systems

作者： H. Morais M. Cardoso L. Castanheira Z. Vale GECAD - Knowledge Engineering and Decision Support Research Group Polythechnic Institute of Porto/Institute of Engineering Rua Dr. António Bernardino de Almeida Porto Portugal

The increase of the use of renewable energy sources and distributed generation (DG) of electricity is of main importance in the way towards a sustainable development. The aggregation of DG plants gives place to a new concept: the virtual power producer (VPP). VPPs can reinforce the importance of these generation technologies making them valuable in electricity markets. This paper presents a simulation tool developed to support VPPs in analyzing the effects of their strategies of operation and management methods

关键词： Solar power generation Power generation Fuel cells Distributed power generation Costs Wind energy generation Distributed control Sustainable development Renewable energy resources Turbines

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E-business interoperabilitv through ontology semantic mapping

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IFlP TC5/WG5.5 4th IFIP Working Conference on Virtual Enterprises, PRO-VE 2003

作者： Silva, Nuno Rocha, João Cardoso, José GECAD - Knowledge Engineering and Decision Support Research Group Instituto Superior de Engenharia do Porto 4200-072 Porto Portugal Engenharias Universidade de Trás-os-Montes e Alto Douro Apartado 202 5001-911 Vila Real Portugal

ISBN: (纸本)9781475762952

With the advent of Semantic Web. knowledge-based interoperabiliry in VE faces a new technological shift. in which ontologies and semantic web technologies plays a major role. Exploiting the explicit semantic description of the domain of discourse allows reasoning and automatically acquiring semantic relations between two different domains of discourses. Such semantic relations would be further applied in converting data between such domains. This process is named Ontology Mapping. The MAFRA-Mapping FRAmework cover all the phases of the process, including analysis. specification, representation. execution and evolution. The execution strategy and methodology are the focus of this paper. The MAFRA Toolkit is being applied in the European project Harmonise, which aims to provide solutions for (semi-) automatic interoperabiliry between major operators in e-tourism. © 2004 by Springer Science+Business Media New York.

关键词： Ontology

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Simulating the Behaviour of Electronic MarketPlaces with an Agent-Based Approach

Simulating the Behaviour of Electronic MarketPlaces with an ...

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IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： M.J. Viamonte C. Ramos F. Rodrigues C. Cardoso GECAD - Knowledge Engineering and Decision Support Research Group Institute of Engineering of Porto Portugal Engineering Section University of Trás-os-Montes e Alto Douro

We forecast a future in which the global economy and the Internet will host a large number of interacting software agents. Most of them will be economically motivated, and will negotiate a variety of goods and services. It is therefore important to consider the economic incentives and behaviours of economic software agents, and to use all available means to anticipate their collective interactions. This paper addresses this concern by presenting a multi-agent market simulator designed for analysing agent market strategies based on a complete understanding of buyer and seller behaviours, preference models and pricing algorithms. The results of the negotiations between agents will be analysed by data mining tools in order to extract rules that will give the agents feedback to improve their strategies.

关键词： Consumer electronics Economic forecasting Software agents Algorithm design and analysis Data mining Internet Analytical models Pricing Data analysis Feedback

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A new agent-based framework for the simulation of electricity markets

A new agent-based framework for the simulation of electricit...

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作者： Praça, Isabel Ramos, Carlos Vale, Zita Cordeiro, Manuel GECAD-Knowledge Engineering and Decision Support Research Group Inst. of Engineering/Polytechnic Inst. of Porto Portugal Engineering Section University of Trás-os-Montes e Alto Douro Portugal

ISBN: (纸本)0769519318

As electric utility systems around the world continue to move towards open, competitive markets, the need for new modelling techniques will become more obvious. To study electricity markets behaviour and evolution we propose a multi-agent simulator where agents represent several entities that can be found in electricity markets, such as generators, consumers, market operators and network operators, but also entities that are emerging with the advent of liberalization, such as traders. The simulator probes the possible effects of market rules and conditions by simulating the strategic behaviour of participants. In this paper a special attention is devoted to the strategic decision processes of Seller, Buyer and Trader agents, in order to gain advantage facing the new emerging competitive market. © 2003 IEEE.

关键词： Power markets

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FONTE - Factorizing ONTology engineering complexity 03

FONTE - Factorizing ONTology engineering complexity

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2nd International Conference on knowledge Capture, K-CAP 2003

作者： Santos, Jorge Staab, Steffen GECAD - Knowledge Engineering and Decision Support Research Group Instituto Superior de Engenharia Do Porto Departamento de Engenharia Informática Porto4200-072 Portugal Institut AIFB KarlsruheD-76128 Germany

ISBN: (纸本)1581135831

Because it is difficult to engineer a complex ontology with time, we here consider a method that allows for factorizing the complexity of the engineering process, FONTE (Factorizing ONTology engineering complexity). FONTE divides the engineering task into building a time-less domain ontology and a temporal theory independently from each other. FONTE provides an operator that assembles the two independently developed ontologies into the targeted ontology. We investigate the quality of the proposed operator by applying it to a practical case study, viz. the engineering of an ontology about researchers including temporal interactions. Copyright 2003 ACM.

关键词： ontology engineering knowledge engineering and modelling methodology

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Semantic Web complex ontology mapping 03

Semantic Web complex ontology mapping

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IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： N. Silva J. Rocha Instituto Superior de Engenharia do Porto GECAD-Knowledge Engineering and Decision Support Research Group Porto Portugal

ISBN: (纸本)9780769519326

Ontology mapping is the process whereby two ontologies are semantically related at conceptual level and the source ontology instances are transformed into target ontology entities according to those semantic relations. Ontology mapping faces new challenges in the context of semantic Web, especially concerning heterogeneity, dynamics, distribution and limitations on representation technology. We introduce a new methodology and transformation process based on the notion of service, which represents system transformation capabilities. MAFRA toolkit is a specific implementation of MAFRA-mapping framework, where these new methodology and transformation process are being validated. MAFRA toolkit is being applied in the European project Harmonise, which aims to provide solutions for (semi) automatic interoperability between major operators in tourism e-business. MAFRA plays a major role in the specification, representation and reconciliation phases of the semantic mapping within the scope of the Harmonise technology.

关键词： Semantic Web Ontologies

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