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HPCC
2007
Springer
13 years 8 months ago
Multiobjective Differential Evolution for Mapping in a Grid Environment
Effective and efficient mapping algorithms for multisite parallel applications are fundamental to exploit the potentials of grid computing. Since the problem of optimally mapping i...
Ivanoe De Falco, Antonio Della Cioppa, Umberto Sca...
NC
2002
210views Neural Networks» more  NC 2002»
13 years 4 months ago
Recent approaches to global optimization problems through Particle Swarm Optimization
This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detectin...
Konstantinos E. Parsopoulos, Michael N. Vrahatis
AROBOTS
2005
87views more  AROBOTS 2005»
13 years 4 months ago
Mobile Robot Simultaneous Localization and Mapping in Dynamic Environments
We propose an on-line algorithm for simultaneous localization and mapping of dynamic environments. Our algorithm is capable of differentiating static and dynamic parts of the envir...
Denis F. Wolf, Gaurav S. Sukhatme
IROS
2007
IEEE
189views Robotics» more  IROS 2007»
13 years 11 months ago
Differential evolution approach to the grid-based localization and mapping problem
— A new solution to the Simultaneous Localization and Modelling problem is presented. It is based on the stochastic search of solutions in the state space to the global localizat...
Luis Moreno, Santiago Garrido, Fernando Martin, Ma...
CEC
2007
IEEE
13 years 8 months ago
Mobile robot global localization using differential evolution and particle swarm optimization
For a mobile robot to move in a known environment and operate successfully, first it needs to robustly determine its initial position and orientation relative to the map, and then ...
Ali R. Vahdat, Naser NourAshrafoddin, Saeed Shiry ...