@article{ZavadskasKaklauskasViteikiene2004,
  author    = {Zavadskas, Edmundas Kazimieras and Kaklauskas, Arturas and Viteikiene, Milda},
  title     = {Database of Best Practices and Decision Support Web-based System for Construction Innovation},
  doi       = {10.25643/bauhaus-universitaet.217},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-2173},
  year      = {2004},
  abstract  = {Many construction and facilities management Web sites can be found on the Internet. The interested parties on construction and facilities management Web sites can find databases of best practices, calculators, analyzers, software, expert and decision support systems, neural networks, etc. Technological innovation mainly through changes in the availability of information and communication technology inclusive databases of best practices, calculators, analyzers, software, neural networks, decision support and expert systems that have been provided by a variety of new services developed by the construction and facilities management sectors. Most of all calculators, analyzers, software, decision support and expert systems, neural networks and on-line systems seek to find out how to make the most economic decisions and most of all these decisions are intended only for economic objectives. Alternatives under evaluation have to be evaluated not only from the economic position, but take into consideration qualitative, technical, technological and other characteristics as well. Based on the analysis of the existing calculators, analyzers, information, expert and decision support systems, neural networks and in order to determine most efficient versions of best practices a Decision Support Web-Based System for Construction Innovation (IDSS) was developed by Vilnius Gediminas Technical University.},
  subject      = {Mehragentensystem},
  language  = {en}
}
@inproceedings{YamabeKawamuraTani2004,
  author    = {Yamabe, Yuichiro and Kawamura, Hiroshi and Tani, Akinori},
  title     = {Optimal Design for Recurrent Architecture Network Harmonized with Circulation-type Societies by Applying Genetic Algorithms to Multiagent Model},
  doi       = {10.25643/bauhaus-universitaet.189},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-1892},
  year      = {2004},
  abstract  = {In this paper, a circulation-type society is expressed by recurrent architecture network described with multi-agent model which consists of the following agents: user, builder, reuse maker, fabricator, waste disposer, material maker and earth bank (see Fig.1). Structural members, materials, resources and monies move among these agents. Each agent has its own rules and aims, regarding structural damages, lifetime, cost reduction, numbers of structural members and structural systems. Reasonable prices of members (fresh, reused, recycled and disposed) can be optimized by GAs in this system considering equal distribution of monies among agents.},
  subject      = {Mehragentensystem},
  language  = {en}
}
@article{YabukiKotaniShitani2004,
  author    = {Yabuki, Nobuyoshi and Kotani, Jun and Shitani, Tomoaki},
  title     = {A Steel Bridge Design System Architecture using VR-CAD and Web Service-based Multi-Agents},
  doi       = {10.25643/bauhaus-universitaet.214},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-2146},
  year      = {2004},
  abstract  = {This paper presents a new design environment based on Multi-Agents and Virtual Reality (VR). In this research, a design system with a virtual reality function was developed. The virtual world was realized by using GL4Java, liquid crystal shutter glasses, sensor systems, etc. And the Multi-Agent CAD system with product models, which had been developed before, was integrated with the VR design system. A prototype system was developed for highway steel plate girder bridges, and was applied to a design problem. The application verified the effectiveness of the developed system.},
  subject      = {Mehragentensystem},
  language  = {en}
}
@article{WillenbacherHuebler2004,
  author    = {Willenbacher, Heiko and H{\"u}bler, Reinhard},
  title     = {Intelligent Link-Management for the Support of Integration in Building Life Cycle},
  doi       = {10.25643/bauhaus-universitaet.222},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-2223},
  year      = {2004},
  abstract  = {The processes in the life cycle of buildings are characterised by highly distinct teamwork. The integration of all the distributed working participants, by providing an environment, which especially supports the communication and collaboration between the actors, is a fundamental step to improve the efficiency of the involved processes and to reduce the total costs. In this article, a link based modelling approach and its "intelligent" link management is introduced (1). This approach realises an integration environment based on a special building model that acts as a decision support system. The link-based modelling is characterised by the definition and specialisation of links between partial models. These intelligent managed links enable a very flexible and task specific data access and exchange between all the different views and partial models of the participants.},
  subject      = {Mehragentensystem},
  language  = {en}
}
@inproceedings{TsutsumiHashimoto2004,
  author    = {Tsutsumi, Kazutoshi and Hashimoto, Hiromi},
  title     = {A Development of the Building Kansei Information Retrieval System},
  doi       = {10.25643/bauhaus-universitaet.188},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-1884},
  year      = {2004},
  abstract  = {The purpose of this research is to develop the method to retrieve a building name from the impression of the building. First, the images of the building are registered as database by the questionnaire. Next, the images of the objective building are compared with the degree of matching in image databases, and the building with high synthetic matching degree is retrieved. This system could get a good retrieval result. Moreover, image processing was done, and image databases are trained by neural network from the amount of characteristics of the image, and the retrieval system by image processing was examined.},
  subject      = {Mehragentensystem},
  language  = {en}
}
@article{TakagiTaniKawamura2004,
  author    = {Takagi, Kousuke and Tani, Akinori and Kawamura, Hiroshi},
  title     = {Research on Intelligent Fuzzy Optimal Active and Hybrid Control Systems of Building Structures - Verification of Optimization Method on Switching Rules of Control Forces},
  doi       = {10.25643/bauhaus-universitaet.223},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-2238},
  year      = {2004},
  abstract  = {Recently, many reseraches on active control systems of building structures are preformed based on modern control theory and are installed real buildings. The authors have already proposed intelligent fuzzy optimal active control (IFOAC) systems. IFOAC systems imitate intelligent activities of human brains such as prediction, adaptation, decision-kaking and so on. In IFOAC systems, objective and subjective judgements on the active control can be taken into account. However, IFOAC systems are considered to be suitable for far-field erathquake and control effect becomes small in case of near-field earthqaukes which include a few velosity pules with large amplitudes. To improve control effect in case of near-souece earthquakes, the authors have also proposed hybrid control (HC) systems, in which IFOAC systems and fuzzy control system are combined. In HC systems, the fuzzy control systems are introduced as a reflective fuzzy active control (RFAC) system and imitates spinal reflection of human. In HC systems, active control forces are activated to buildings in accordance with switching rules on active control forces. In this paper, optimizations on fuzzy control rules in RFAC system and switching rules of active control forces in HC system are performed by Parameter-Free Genetic Algorithms (PfGAs). Here, the optimization is performed by using different earthquake inputs. The results of digital simulations show that the HC system can reduce maximal response displacements under restrictions on strokes of the actuator effectively in case of a near-source earthquake and the effectiveness of the proposed HC system is discussed and clarified.},
  subject      = {Mehragentensystem},
  language  = {en}
}
@article{MotawaAnumbaElHamalawi2004,
  author    = {Motawa, Ibrahim and Anumba, Chimay and El-Hamalawi, A.},
  title     = {Development of a Fuzzy System for Change Prediction in Construction Projects},
  doi       = {10.25643/bauhaus-universitaet.218},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-2180},
  year      = {2004},
  abstract  = {Change management has been the focus of different IT systems. These IT systems were developed to represent design information, record design rationale, facilitate design coordination and changes. They are largely based on managing reactive changes, particularly design changes, in which changes are recorded and then propagated to the relevant project members. However, proactive changes are hardly dealt with in IT systems. Proactive changes require estimating the likelihood of occurrence of a change event as well as estimating the degree of change impacts on project parameters. Changes in construction projects often result from the uncertainty associated with the imprecise and vague knowledge of much project information at the early stages of projects. This is a major outcome of the case studies carried out as part of this research. Therefore, the proposed model considers that incomplete knowledge and certain project characteristics are always behind change causes. For proactive changes, predicting a change event is the main task for modelling. The prediction model should strive to integrate these main elements: 1) project characteristics that lead to change 2) causes of change, 3) the likelihood of change occurrence, and 4) the change consequences. It should also define the dependency relationships between these elements. However, limited data (documented) are only available from previous projects for change cases and many of the above elements can only be expressed in linguistic terms. This means that the model will simulate the uncertainty and subjectivity associated with these sets of elements. Therefore, a fuzzy model is proposed in this research to capture these elements. The model analyses the impact of each set of elements on the other by assigning fuzzy values for these elements that express the uncertainty and subjectivity of their impact. The main aim is to predict change events and evaluate change effects on project parameters. The fuzzy model described above was developed in an IT system for operational purposes and was designed as a Java package of components with their supporting classes, beans, and files. This paper describes the development and the architecture of the proposed IT system to achieve these requirements. The system is intended to help project teams in dealing with change causes and then the change consequences in construction projects.},
  subject      = {Mehragentensystem},
  language  = {en}
}
@article{MaQin2004,
  author    = {Ma, Zhiliang and Qin, Liang},
  title     = {A Framework of Management Information System for Construction Projects},
  doi       = {10.25643/bauhaus-universitaet.212},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-2126},
  year      = {2004},
  abstract  = {A comprehensive framework of information management system for construction projects in China has been established through extensive literature survey and field investigation. It utilizes the potential information technologies and covers the practical management patterns as well as the major aspects of construction project management. It can be used to guide and evaluate the design of the information management systems for construction projects in order to make the system to be applicable to a wide variety of construction projects and survive the changes in project management.},
  subject      = {Mehragentensystem},
  language  = {en}
}
@article{LikhitruangsilpIoannou2004,
  author    = {Likhitruangsilp, Veerasak and Ioannou, Photios},
  title     = {Risk-sensitive Markov Decision Process for Underground Construction Planning and Estimating},
  doi       = {10.25643/bauhaus-universitaet.224},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-2247},
  year      = {2004},
  abstract  = {This paper presents an application of dynamic decision making under uncertainty in planning and estimating underground construction. The application of the proposed methodology is illustrated by its application to an actual tunneling project—The Hanging Lake Tunnel Project in Colorado, USA. To encompass the typical risks in underground construction, tunneling decisions are structured as a risk-sensitive Markov decision process that reflects the decision process faced by a contractor in each tunneling round. This decision process consists of five basic components: (1) decision stages (locations), (2) system states (ground classes and tunneling methods), (3) alternatives (tunneling methods), (4) ground class transition probabilities, and (5) tunneling cost structure. The paper also presents concepts related to risk preference that are necessary to model the contractor's risk attitude, including the lottery concept, utility theory, and the delta property. The optimality equation is formulated, the model components are defined, and the model is solved by stochastic dynamic programming. The main results are the optimal construction plans and risk-adjusted project costs, both of which reflect the dynamics of subsurface construction, the uncertainty about geologic variability as a function of available information, and the contractor's risk preference.},
  subject      = {Mehragentensystem},
  language  = {en}
}
@article{KicingerArciszewskiDeJong2004,
  author    = {Kicinger, Rafal and Arciszewski, Tomasz and De Jong, Kenneth},
  title     = {Distributed Evolutionary Design: Island-Model-based Optimization of Steel Skeleton Structures in Tall Buildings},
  doi       = {10.25643/bauhaus-universitaet.219},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-2195},
  year      = {2004},
  abstract  = {This paper presents results of a study on distributed, or parallel, evolutionary computation in the topological design of steel structural systems in tall buildings. It describes results of extensive experimental research on various parallel evolutionary architectures applied to a complex structural design problem. The experiments were conducted using Inventor 2003, a networkbased evolutionary design support tool developed at George Mason University. First, a general introduction to evolutionary computation is provided with an emphasis on recent developments in parallel evolutionary architectures. Next, a discussion of conceptual design of steel structural systems in tall buildings is presented. Further, Inventor 2003 is briefly introduced as well as its design representation and evolutionary computation characteristics. Next, the results obtained from systematic design experiments conducted with Inventor 2003 are discussed. The objective of these experiments was to qualitatively and quantitatively investigate evolution of steel structural systems in tall buildings during a distributed evolutionary design process as well as to compare efficiency and effectiveness of various parallel evolutionary architectures with the traditional evolutionary design approaches. Two connectivity topologies (ring topology and fully-connected topology) have been investigated for four populations of structural designs evolving in parallel and using various migration strategies. Also, results of the initial sensitivity studies are reported in which two ways of initializing distributed evolutionary design processes were investigated, using either arbitrarily selected designs as initial parents or randomly generated ones. Finally, initial research conclusions are presented.},
  subject      = {Mehragentensystem},
  language  = {en}
}