Computational intelligence for problem solving in engineering

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Problem solving in engineering is increasingly based on knowledge based methods. The need for reliable, proven, and accepted knowledge makes introduction of computational intelligence in product development slow and problematic. In order to achieve advances in this area, object model definition, object model compatible knowledge definition, application oriented knowledge verification, and computational intelligence methods must be harmonized and coordinated. This paper introduces and discusses possibilities for application of computer science motivated knowledge definition in engineering. The purpose of the reported research is to bring industrial product modeling and intelligent computing theories and methodologies closer. Paper starts with a discussion on characteristics and features of intelligent systems in engineering. Following this, including knowledge in future engineering is defined as placing some elements from human capabilities in a virtual space in order to support tasks in the development and application of products. Next, knowledge and object procedures are identified and attributes of knowledge are defined in order to allow applications in professional engineering environments. Finally, implementation of the proposed intelligent engineering is discussed as its coordination with engineering advising in current product modeling.

Original languageEnglish
Title of host publicationProceedings - IECON 2010, 36th Annual Conference of the IEEE Industrial Electronics Society
Pages1317-1322
Number of pages6
DOIs
Publication statusPublished - Dec 1 2010
Event36th Annual Conference of the IEEE Industrial Electronics Society, IECON 2010 - Glendale, AZ, United States
Duration: Nov 7 2010Nov 10 2010

Publication series

NameIECON Proceedings (Industrial Electronics Conference)

Other

Other36th Annual Conference of the IEEE Industrial Electronics Society, IECON 2010
CountryUnited States
CityGlendale, AZ
Period11/7/1011/10/10

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Rudas, I. J., & Tar, J. K. (2010). Computational intelligence for problem solving in engineering. In Proceedings - IECON 2010, 36th Annual Conference of the IEEE Industrial Electronics Society (pp. 1317-1322). [5675491] (IECON Proceedings (Industrial Electronics Conference)). https://doi.org/10.1109/IECON.2010.5675491