Regional Traffic Assignment by ACO

Authors :: Rolando Trujillo
Manuel Otero
Roberto Gabrielli
Vittorio Maniezzo
Matteo Roffilli
A. Guidazzi
DORIGO, M.
BIRATTARI, M.
BLUM, C.
CLERC, M.
STÜTZLE, TH.
WINFIELD, A
V. Maniezzo
M. Roffilli
R. Gabrielli
A. Guidazzi
M. Otero
R. Trujillo
Source :: Ant Colony Optimization and Swarm Intelligence ISBN: 9783540875260, ANTS Conference
Publication Year :: 2008
Publisher :: Springer Berlin Heidelberg, 2008.
Abstract: An established research line in ACO systems supports the intuition that ant algorithms are particularly fit for dynamic optimization problems because of their ability to construct an internal representation of the essential elements of the problem to solve, a representation which needs to be updated and not reconstructed when the instance changes.

Subjects :: Mathematical optimization
Optimization problem
Computer science
business.industry
Artificial intelligence
business
Swarm intelligence
Generalized assignment problem
Weapon target assignment problem
Intuition

ISBN :: 978-3-540-87526-0
ISBNs :: 9783540875260
Database :: OpenAIRE
Journal :: Ant Colony Optimization and Swarm Intelligence ISBN: 9783540875260, ANTS Conference
Accession number :: edsair.doi.dedup.....e2991c3f7899452eaaca289e145525b2
Full Text :: https://doi.org/10.1007/978-3-540-87527-7_49