TY  - CHAP
AU  - Anikó Csébfalvi
ED  - Helio J.C. Barbosa
Y1  - 2013-02-20
PY  - 2013
T1  - ANGEL: A Simplified Hybrid Metaheuristic for Structural Optimization
N2  - Ant Colony Optimization (ACO) is the best example of how studies aimed at understanding and modeling the behavior of ants and other social insects can provide inspiration for the development of computational algorithms for the solution of difficult mathematical problems. Introduced by Marco Dorigo in his PhD thesis (1992) and initially applied to the travelling salesman problem, the ACO field has experienced a tremendous growth, standing today as an important nature-inspired stochastic metaheuristic for hard optimization problems. This book presents state-of-the-art ACO methods and is divided into two parts: (I) Techniques, which includes parallel implementations, and (II) Applications, where recent contributions of ACO to diverse fields, such as traffic congestion and control, structural optimization, manufacturing, and genomics are presented.
BT  - Ant Colony Optimization
SP  - Ch. 5
UR  - https://doi.org/10.5772/52188
DO  - 10.5772/52188
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-19
ER  -