scholarly journals Multi-objective Construction Site Layout Planning Using Genetic Algorithms

2016 ◽  
Vol 164 ◽  
pp. 20-27 ◽  
Author(s):  
Ioanna N. Papadaki ◽  
Athanasios P. Chassiakos
Keyword(s):  
Genetic Algorithms ◽  
Construction Site ◽  
Layout Planning ◽  
Multi Objective ◽  
Site Layout ◽  
Construction Site Layout

Max-Min Ant System Approach for Solving Construction Site Layout

2011 ◽  
Vol 328-330 ◽  
pp. 128-131 ◽  
Author(s):  
Xin Ning ◽  
Wen Han Liu
Keyword(s):  
Genetic Algorithms ◽  
System Approach ◽  
Construction Site ◽  
Ant System ◽  
Layout Planning ◽  
Site Layout ◽  
Good Site ◽  
Feasible Solutions ◽  
A Site ◽  
Construction Site Layout

A good site layout can promote site safety and efficient operations. Previous research of this area focused on genetic algorithms, simulated annealing, and tabu search and the solutions were obtained by the iteration of the initial feasible solutions, which differed fundamentally from the reality. In designing a site layout, a planner will first position the key facilities that influence the method and sequence of construction mostly, and will then assign the remaining facilities in the available space that is left over. This process is similar to the positioning of facilities in the Ant Colony Optimization (ACO) algorithms. In this study, we used Max-min Ant System (MMAS), which is one of ACO algorithm is employed to solve construction site layout planning. The results show that MMAS can be successfully applied to resolve site layout problems.

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