TY  - JOUR
A1  - Albert, Andrej
A1  - Freischlad, Mark
A1  - Pullmann, Torben
T1  - Acquisition of Conceptual Design Knowledge in Structural Engineering
N2  - Expert systems integrating fuzzy reasoning techniques represent a powerful tool to support practicing engineers during the early stages of structural design. In this context fuzzy models have proved themselves to be very suitable for the representation of complex design knowledge. However their definition is a laborious task. This paper introduces an approach for the design and the optimization of fuzzy systems based upon Genetic Programming. To keep the emerging fuzzy systems transparent a new framework for the definition of linguistic variables is also introduced.
KW  - Mehragentensystem
KW  - Lernendes System
KW  - Wissensverarbeitung
Y1  - 2004
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20111215-2154
ER  - 
TY  - JOUR
A1  - Yabuki, Nobuyoshi
A1  - Kotani, Jun
A1  - Shitani, Tomoaki
T1  - A Steel Bridge Design System Architecture using VR-CAD and Web Service-based Multi-Agents
N2  - 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.
KW  - Mehragentensystem
KW  - Lernendes System
KW  - Stahlbrücke
KW  - Virtuelle Realität
Y1  - 2004
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20111215-2146
ER  - 
TY  - JOUR
A1  - El-Rayes, Khaled
A1  - Hyari, Khalied
T1  - A Multi-objective Model for Optimizing Construction Planning of Repetitive Infrastructure Projects
N2  - This paper presents the development of a model for optimizing resource utilization in repetitive infrastructure projects. The model provides the capability of simultaneous minimization of both project duration and work interruptions for construction crews. The model provides in a single run, a set of nondominated solutions that represent the tradeoff between these two objectives. The model incorporates a multiobjective genetic algorithm and scheduling algorithm. The model initially generates a randomly selected set of solutions that evolves to a near optimal set of tradeoff solutions in subsequent generations. Each solution represents a unique scheduling solution that is associated with certain project duration and a number of interruption days for utilized construction crews. As such, the model provides project planners with alternative schedules along with their expected duration and resource utilization efficiency.
KW  - Mehragentensystem
KW  - Lernendes System
KW  - Infrastruktur
Y1  - 2004
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20111215-2135
ER  - 
TY  - JOUR
A1  - Ma, Zhiliang
A1  - Qin, Liang
T1  - A Framework of Management Information System for Construction Projects
N2  - 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.
KW  - Mehragentensystem
KW  - Lernendes System
KW  - Managementinformationssystem
Y1  - 2004
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20111215-2126
ER  -