Al-Tabtabai, H and Alex, A P (1999) Using genetic algorithms to solve optimization problems in construction. Engineering, Construction and Architectural Management, 6(2), pp. 121-132. ISSN 0969-9988
Abstract
Genetic algorithm (GA) is a model of machine learning. The algorithm can be used to find sub-optimum, if not optimum, solution(s) to a particular problem. It explores the solution space in an intelligent manner to evolve better solutions. The algorithm does not need any specific programming efforts but requires encoding the solution as strings of parameters. The field of application of genetic algorithms has increased dramatically in the last few years. A large variety of possible GA application tools now exist for non-computer specialists. Complicated problems in a specific optimization domain can be tackled effectively with a very modest knowledge of the theory behind genetic algorithms. This paper reviews the technique briefly and applies it to solve some of the optimization problems addressed in construction management literature. The lessons learned from the application of GA to these problems are discussed. The result of this review is an indication of how the GA can contribute in solving construction-related optimization problems. A summary of general guidelines to develop solutions using this optimization technique concludes the paper.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | genetic algorithm; optimization |
| Index terms: | genetic algorithm, encoding, programming, lessons learned, machine learning, optimization technique |
| Subjects: | data science, artificial intelligence, programming, professional development, algorithms |
| Topics: | Digital Applications, Information Management |
| Descriptive scope: | 3 PCA |
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