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IIWAS
2003
13 years 10 months ago
Agent-based Problem Solving: The Ant Colonies Metaphor
In this paper the analogy between biological swarms and artificial multiagent systems is pointed out. As an example the steps required to model the artificial optimization techniq...
Stefan Wagner 0002, Michael Affenzeller, Ismail Kh...
ATAL
2007
Springer
14 years 2 months ago
Convergence and rate of convergence of a simple ant model
We present a simple ant model that solves a discrete foraging problem. We describe simulations and provide a complete convergence analysis: we show that the ant population compute...
Amine M. Boumaza, Bruno Scherrer
ICARCV
2008
IEEE
200views Robotics» more  ICARCV 2008»
14 years 3 months ago
A robot behavior-learning experiment using Particle Swarm Optimization for training a neural-based animat
— We investigate the use of Particle Swarm Optimization (PSO), and compare with Genetic Algorithms (GA), for a particular robot behavior-learning task: the training of an animat ...
Fabien Moutarde
IJAIT
2010
167views more  IJAIT 2010»
13 years 7 months ago
Bee Colony Optimization with Local Search for Traveling Salesman Problem
Many real world industrial applications involve finding a Hamiltonian path with minimum cost. Some instances that belong to this category are transportation routing problem, scan c...
Li-Pei Wong, Malcolm Yoke-Hean Low, Chin Soon Chon...
CEC
2010
IEEE
13 years 9 months ago
Smart flight and dynamic tolerances in the artificial bee colony for constrained optimization
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...
Efrén Mezura-Montes, Mauricio Damian-Araoz,...