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ICRA
2003
IEEE
154views Robotics» more  ICRA 2003»
15 years 6 months ago
Obstacle avoidance in formation
Abstract— In this paper, we present an approach to obstacle avoidance for a group of unmanned vehicles moving in formation. The goal of the group is to move through a partially u...
Petter Ögren, Naomi Ehrich Leonard
ICML
2003
IEEE
15 years 6 months ago
Evolutionary MCMC Sampling and Optimization in Discrete Spaces
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
Malcolm J. A. Strens
GECCO
2003
Springer
117views Optimization» more  GECCO 2003»
15 years 6 months ago
Improving Evolvability of Genetic Parallel Programming Using Dynamic Sample Weighting
Abstract. This paper investigates the sample weighting effect on Genetic Parallel Programming (GPP) that evolves parallel programs to solve the training samples captured directly f...
Sin Man Cheang, Kin-Hong Lee, Kwong-Sak Leung
IMR
2003
Springer
15 years 6 months ago
Fully Automatic Adaptive Mesh Refinement Integrated into the Solution Process
Finite element analysts and designers need to feel confident in the results of their analyses before sending a product to prototype or production. Mesh discretization can greatly ...
Joseph R. Tristano, Zhijian Chen, D. Alfred Hancq,...
COMPSAC
2002
IEEE
15 years 6 months ago
Parallel Genetic Algorithms with Schema Migration
Genetic algorithms (GAs) are efficient non-gradient stochastic search methods. Parallel GAs are proposed to overcome the deficiencies of sequential GAs, such as low speed and aptn...
Baowen Xu, Yu Guan, Zhenqiang Chen, Karl R. P. H. ...