Paper Info
Title
A hybrid swarm intelligence based particle-bee algorithm for construction site layout optimization
Abstract
The construction site layout (CSL) design presents a particularly interesting area of study because of its relatively high level of attention to usability qualities, in addition to common engineering objectives such as cost and performance. However, it is difficult combinatorial optimization problem for engineers. Swarm intelligence (SI) was very popular and widely used in many complex optimization problems which was collective behavior of social systems such as honey bees (bee algorithm, BA) and birds (particle swarm optimization, PSO). This study proposed an optimization hybrid swarm algorithm namely particle-bee algorithm (PBA) based on a particular intelligent behavior of honey bee and bird swarms by integrates theirs advantages. This study compares the performance of PBA with that of BA and PSO for hypothetical construction engineering of CSL problems. The results show that the performance of PBA is comparable to those of the mentioned algorithms and can be efficiently employed to solve those hypothetical CSL problems with high dimensionality.
Year
DOI
Venue
2012
10.1016/j.eswa.2012.02.134
Expert Syst. Appl.
Keywords
Field
DocType
bird swarm,particle swarm optimization,complex optimization problem,bee algorithm,particle-bee algorithm,hybrid swarm intelligence,hypothetical csl problem,construction site layout optimization,csl problem,difficult combinatorial optimization problem,optimization hybrid swarm algorithm,honey bee,swarm intelligence
Particle swarm optimization,Artificial bee colony algorithm,Computer science,Usability,Swarm intelligence,Algorithm,Multi-swarm optimization,Curse of dimensionality,Artificial intelligence,Optimization problem,Machine learning,Honey bee
Journal
Volume
Issue
ISSN
39
10
0957-4174
Citations 
PageRank 
References 
11
0.58
10
Authors
2
Name
Order
Citations
PageRank
Li-Chuan Lien1443.82
Min-Yuan Cheng217419.84