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ICARCV
2008
IEEE
200views Robotics» more  ICARCV 2008»
15 years 4 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
CEC
2009
IEEE
15 years 4 months ago
Dynamic search initialisation strategies for multi-objective optimisation in peer-to-peer networks
Abstract— Peer-to-peer based distributed computing environments can be expected to be dynamic to greater of lesser degree. While node losses will not usually lead to catastrophic...
Ian Scriven, Andrew Lewis, Sanaz Mostaghim
CEC
2007
IEEE
15 years 4 months ago
Opposition-based particle swarm algorithm with cauchy mutation
—Particle Swarm Optimization (PSO) has shown its fast search speed in many complicated optimization and search problems. However, PSO could often easily fall into local optima. T...
Hui Wang, Hui Li, Yong Liu, Changhe Li, Sanyou Y. ...
GECCO
2009
Springer
153views Optimization» more  GECCO 2009»
15 years 2 months ago
An evaporation mechanism for dynamic and noisy multimodal optimization
Dealing with imprecise information is a common characteristic in real-world problems. Specifically, when the source of the information are physical sensors, a level of noise in t...
Jose Luis Fernandez-Marquez, Josep Lluís Ar...
CEC
2009
IEEE
15 years 1 months ago
Search methodologies for efficient planetary site selection
Landing on distant planets is always a challenging task due to the distance and hostile environments found. In the design of autonomous hazard avoidance systems we find the particu...
Luís F. Simões, Tiago C. Pais, Rita ...