Kandil, A; El-Rayes, K and El-Anwar, O (2010) Optimization research: Enhancing the robustness of large-scale multiobjective optimization in construction. Journal of Construction Engineering and Management, 136(1), pp. 17-25. ISSN 0733-9364
Abstract
Many construction planning problems require optimizing multiple and conflicting project objectives such as minimizing construction time and cost while maximizing safety, quality, and sustainability. To enable the optimization of these construction problems, a number of research studies focused on developing multiobjective optimization algorithms (MOAs). The robustness of these algorithms needs further research to ensure an efficient and effective optimization of large-scale real-life construction problems. This paper presents a review of current research efforts in the field of construction multiobjective optimization and two case studies that illustrate methods for enhancing the robustness of MOAs. The first case study utilizes a multiobjective genetic algorithm (MOGA) and an analytical optimization algorithm to optimize the planning of postdisaster temporary housing projects. The second case study utilizes a MOGA and parallel computing to optimize the planning of construction resource utilization in large-scale infrastructure projects. The paper also presents practical recommendations based on the main findings of the analyzed case studies to enhance the robustness of multiobjective optimization in construction engineering and management.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | algorithms; housing; linear analysis; multiple objective analysis; optimization models; parallel processing; resource management |
| Index terms: | resource utilization, case study, infrastructure project, construction time, resource management, construction planning, construction engineering, genetic algorithm, temporary housing, housing, optimization algorithm, computing |
| Subjects: | control systems, computing systems, data collection methods, construction type, construction planning, site logistics, specific urban areas and projects, algorithms, engineering methods, infrastructure and transport systems, project controls |
| Topics: | Construction Technology, Project Management, Research Practice, Engineering Principles, Site Management, Time Control, Digital Applications, Urban Studies |
| 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