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CP
2006
Springer
13 years 11 months ago
A New Algorithm for Sampling CSP Solutions Uniformly at Random
The paper presents a method for generating solutions of a constraint satisfaction problem (CSP) uniformly at random. The main idea is to express the CSP as a factored probability d...
Vibhav Gogate, Rina Dechter
EURODAC
1994
IEEE
140views VHDL» more  EURODAC 1994»
13 years 11 months ago
GSA: scheduling and allocation using genetic algorithm
This paper describes a unique approach to scheduling and allocation problem in high-level synthesis using genetic algorithm (GA). This approach is dierent from a previous attempt ...
Ali Shahid, Muhammad S. T. Benten, Sadiq M. Sait
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
13 years 11 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
ATAL
2009
Springer
13 years 8 months ago
Efficient physics-based planning: sampling search via non-deterministic tactics and skills
Motion planning for mobile agents, such as robots, acting in the physical world is a challenging task, which traditionally concerns safe obstacle avoidance. We are interested in p...
Stefan Zickler, Manuela M. Veloso
HEURISTICS
2008
120views more  HEURISTICS 2008»
13 years 7 months ago
A local linear embedding module for evolutionary computation optimization
A Local Linear Embedding (LLE) module enhances the performance of two Evolutionary Computation (EC) algorithms employed as search tools in global optimization problems. The LLE em...
Fabio Boschetti