Abstract
1-Introduction
2-Particle Swarm Model
3-Conclusions
References
Abstract
Problems of engineering design optimization are usually implemented in the particular literature to display the new constrained optimization algorithms success The environment of the business of the construction project tend to change rapidly and consciously throughout the world. Problem will raised due to the inability of the organizations to adjust and respond to new environment complexity. The author gather these information from the documents of the projects and construct the model to find the best solution, 5 projects with each projects has 3 problems and every problem has 10 possible solutions, the PSO tries to find the best solution. The results show that the PSO is considerably fast and find the best solution with high accuracy and it has been shown even that some problems have high effect but it didn’t chosen because the constrain show high cost and long time therefor they become out of the selection. PSO proved to be powerful and accurate toll in solving the construction problems and it can be used as base for other problems in other area.
Introduction
The industry characteristics have often been noted and assessed, and several doubts whether construction is actually an industry [1], or fairly a system of projects [2]. In these observations of the construction nature and mainly the project that consider strong and regarded as the center of the industry has often been recognized as a main cause of many of the industry limitations and problems [3]. Some have recognized specific individualities of construction causing the problems, including the temporary organization.[4] Problems of engineering design optimization are usually implemented in the particular literature to display the new constrained optimization algorithms success . The environment of the business of the construction project tend to change rapidly and consciously throughout the world.