A NEW MODEL FOR HIGHWAY CONSTRUCTION SITE LAYOUT PROBLEM USING A HYBRID OPTIMIZATION APPROACH | ||||
ERJ. Engineering Research Journal | ||||
Article 18, Volume 32, Issue 4, October 2009, Page 577-584 PDF (887.62 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/erjm.2009.69497 | ||||
View on SCiNiTO | ||||
Authors | ||||
Ibrahim hashim1; Hassan I. Mathkour2; A.A. Mousa3 | ||||
1Civil Engineering Department, Faculty of Engineering, Menoufiya University | ||||
2Department of Computer Science,College of Computer and Information Sciences, King Saud University, Saudia Arabia | ||||
3Basic Engineering Sciences Department, Faculty of Engineering, Menoufiya University | ||||
Abstract | ||||
Undoubtedly, site layout is a veiy important planning problem for the construction of any project. A new approach to solve the multi-objective construction site layout (MCSL) problem is presented. It is based on the combination of Genetic Algorithm (GA) and the TOPSIS technique. MCSL is considered with assigning of predetermined facilities into a number of predetermined places. The proposed approach has two main objectives. The fust is to minimize overall distance, while the second is to reduce the number of crossing paths between diierent facilities. Also, the approach has two characteristic features. Firstly, a new chromosome's structure is introduced, which is adopted as it is capable to representing all possible feasible solutions. Secondly, the algorithm is an iterative multi-objective genetic algorithm with an external population of Pareto optimal solutions that best conform a Pareto front. To help the decision makers to extract the best compromise solution from a fmite set of alternatives, a TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) method is adopted. A case study for a simple highway project is presented to illustrate the application of the proposed model | ||||
Statistics Article View: 78 PDF Download: 145 |
||||