Solving Facility-Layout Optimization Problems with Clustering Constraints

1998 ◽  
Vol 25 (2) ◽  
pp. 299-308 ◽  
Author(s):  
H-L Li ◽  
M-C Hsieh
Keyword(s):  
Optimization Problems ◽  
Facility Layout ◽  
Layout Optimization

Models and algorithms for fair layout optimization problems

2008 ◽  
Vol 179 (1) ◽  
pp. 5-14 ◽  
Author(s):  
Albert E. Fernandes Muritiba ◽  
Manuel Iori ◽  
Silvano Martello ◽  
Marcos J. Negreiros Gomes
Keyword(s):  
Optimization Problems ◽  
Layout Optimization

scholarly journals A Comparative Study on Bio-Inspired Algorithms in Layout Optimization of Construction Site Facilities

2018 ◽  
Vol 20 (2) ◽  
pp. 102 ◽  
Author(s):  
Doddy Prayogo ◽  
Jessica Chandra Sutanto ◽  
Hieronimus Enrico Suryo ◽  
Samuel Eric
Keyword(s):  
Optimization Problems ◽  
Transportation Cost ◽  
Layout Optimization ◽  
Symbiotic Organisms Search ◽  
Bee Colony ◽  
Site Layout ◽  
Critical Attention ◽  
Engineering Problems ◽  
Symbiotic Organisms ◽  
Planning Problems

A good arrangement of site layout on a construction project is a fundamental component of the project’s efficiency. Optimization on site layout is necessary in order to reduce the transportation cost of resources or personnel between facilities. Recently, the use of bio-inspired algorithms has received considerable critical attention in solving the engineering optimization problem. These methods have consistently provided better performance than traditional mathematical-based methods to a variety of engineering problems. This study compares the performance of particle swarm optimization (PSO), artificial bee colony (ABC), and symbiotic organisms search (SOS) algorithms in optimizing site layout planning problems. Three real-world case studies of layout optimization problems have been used in this study. The results show that SOS has a better performance in comparison to the other algorithms. Thus, this study provides useful insights to construction practitioners in the industry who are involved in dealing with optimization problems

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