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ALIFE
2002
13 years 7 months ago
Ant Colony Optimization and Stochastic Gradient Descent
In this paper, we study the relationship between the two techniques known as ant colony optimization (aco) and stochastic gradient descent. More precisely, we show that some empir...
Nicolas Meuleau, Marco Dorigo
ANOR
2004
155views more  ANOR 2004»
13 years 7 months ago
Model-Based Search for Combinatorial Optimization: A Critical Survey
In this paper we introduce model-based search as a unifying framework accommodating some recently proposed metaheuristics for combinatorial optimization such as ant colony optimiza...
Mark Zlochin, Mauro Birattari, Nicolas Meuleau, Ma...
AISB
1995
Springer
13 years 11 months ago
The Ant Colony Metaphor for Searching Continuous Design Spaces
This paper describes a form of dynamical computational system--4he ant colony---and presents an ant colony model for continuous space optimisation problems. The ant colony metapho...
George Bilchev, Ian C. Parmee
CEC
2008
IEEE
14 years 1 months ago
DEACO: Hybrid Ant Colony Optimization with Differential Evolution
—Ant Colony Optimization (ACO) algorithm is a novel meta-heuristic algorithm for the approximate solution of combinatorial optimization problems that has been inspired by the for...
Xiangyin Zhang, Haibin Duan, Jiqiang Jin
ANTSW
2004
Springer
14 years 26 days ago
S-ACO: An Ant-Based Approach to Combinatorial Optimization Under Uncertainty
A general-purpose, simulation-based algorithm S-ACO for solving stochastic combinatorial optimization problems by means of the ant colony optimization (ACO) paradigm is investigate...
Walter J. Gutjahr