Paper Info
Title
Smart Flight And Dynamic Tolerances In The Artificial Bee Colony For Constrained Optimization
Abstract
This paper presents an adaptation of a novel algorithm based on the foraging behavior of honey bees to solve constrained numerical optimization problems. The modifications focus on improving the way the feasible region is approached by using a new operator which allows the generation of search directions biased by the best solution so far. Furthermore, two dynamic tolerances applied in the constraint handling mechanism help the algorithm to the generation of feasible solutions. The approach is tested on a set of 24 benchmark problems and its behavior is compared against the original algorithm and with respect to some state-of-the-art algorithms.
Year
DOI
Venue
2010
10.1109/CEC.2010.5586099
2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
Keywords
Field
DocType
optimization,artificial intelligence,tin,silicon,foraging behavior,particle swarm optimization,constrained optimization,algorithm design and analysis
Particle swarm optimization,Mathematical optimization,Algorithm design,Computer science,Feasible region,Operator (computer programming),Artificial intelligence,Bees algorithm,Optimization problem,Foraging,Machine learning,Constrained optimization
Conference
Citations 
PageRank 
References 
7
0.51
14
Authors
3
Name
Order
Citations
PageRank
Efrén Mezura-Montes179955.80
Mauricio Damian-Araoz270.51
Omar Cetina-Domingez370.51