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FGCS
2000
83views more  FGCS 2000»
14 years 8 days ago
A Graph-based Ant System and its convergence
: A general framework for solving combinatorial optimization problems heuristically by the Ant System approach is developed. The framework is based on the concept of a construction...
Walter J. Gutjahr
COR
2008
122views more  COR 2008»
14 years 17 days ago
First steps to the runtime complexity analysis of ant colony optimization
: The paper presents results on the runtime complexity of two ant colony optimization (ACO) algorithms: Ant System, the oldest ACO variant, and GBAS, the first ACO variant for whic...
Walter J. Gutjahr
GECCO
2006
Springer
201views Optimization» more  GECCO 2006»
14 years 4 months ago
Selective self-adaptive approach to ant system for solving unit commitment problem
This paper presents a novel approach to solve the constrained unit commitment problem using Selective Self-Adaptive Ant System (SSAS) for improving search performance by automatic...
Songsak Chusanapiputt, Dulyatat Nualhong, Sujate J...
ANTSW
2006
Springer
14 years 4 months ago
On the Invariance of Ant System
It is often believed that the performance of ant system, and in general of ant colony optimization algorithms, depends somehow on the scale of the problem instance at hand. The iss...
Mauro Birattari, Paola Pellegrini, Marco Dorigo
GECCO
2003
Springer
142views Optimization» more  GECCO 2003»
14 years 5 months ago
Revisiting Elitism in Ant Colony Optimization
Ant Colony Optimization (ACO) has been applied successfully in solving the Traveling Salesman Problem. Marco Dorigo et al. used Ant System (AS) to explore the Symmetric Traveling S...
Tony White, Simon Kaegi, Terri Oda
CEC
2007
IEEE
14 years 6 months ago
Stability analysis of the ant system dynamics with non-uniform pheromone deposition rules
—The paper extends the classical Ant Systems by considering non-uniform deposition by the ants, while constructing pheromone trails. A deterministic solution to the ant system dy...
Ajith Abraham, Amit Konar, Nayan R. Samal, Swagata...