Naoum, S and Haidar, A L I (2000) A hybrid knowledge base system and genetic algorithms for equipment selection. Engineering, Construction and Architectural Management, 7(1), pp. 3-14. ISSN 0969-9988
Abstract
This paper describes the development of a hybrid knowledge base system and genetic algorithms to select the optimum excavating and haulage equipment in opencast mining. The knowledge base system selects the equipment in broad categories based on the geological, technical and environmental characteristics of the mine. To further identify the make, size and number of each piece of equipment that minimizes the total cost of the operation, the problem is solved using the genetic algorithms mechanism. Results of four case studies are presented to show the validation of the developed system.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | artificial intelligence; earthwork; equipment selection; genetic algorithms; knowledge base systems; optimization |
| Index terms: | earthwork, knowledge base, genetic algorithm, validation, equipment selection, artificial intelligence, case study, mining |
| Subjects: | data collection methods, construction methods, algorithms, procurement capability, information systems, professional development, geotechnical engineering, artificial intelligence |
| Topics: | Supply Chain Management, Digital Applications, Information Management, Research Practice, Engineering Principles |
| Descriptive scope: | 3 PCE |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here