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DAGSTUHL
2008
13 years 11 months ago
Interactive Multiobjective Optimization Using a Set of Additive Value Functions
Abstract. In this chapter, we present a new interactive procedure for multiobjective optimization, which is based on the use of a set of value functions as a preference model built...
José Rui Figueira, Salvatore Greco, Vincent...
CEC
2008
IEEE
14 years 4 months ago
A Fast Bacterial Swarming Algorithm for high-dimensional function optimization
—A novel Fast Bacterial Swarming Algorithm (FBSA) for high-dimensional function optimization is presented in this paper. The proposed algorithm combines the foraging mechanism of...
Ying Chu, Hua Mi, Huilian Liao, Zhen Ji, Q. H. Wu
ICRA
2006
IEEE
165views Robotics» more  ICRA 2006»
14 years 3 months ago
Biped Gait Optimization using Spline Function based Probability Model
— A new Estimation of Distribution Algorithm (EDA) with spline kernel function (EDA_S) is proposed to optimize biped gait for a nine-link humanoid robot. Gait synthesis of the bi...
Lingyun Hu, Changjiu Zhou, Zengqi Sun
INDOCRYPT
2005
Springer
14 years 3 months ago
Towards Optimal Double-Length Hash Functions
In this paper we design several double length hash functions and study their security properties in the random oracle model. We design a class of double length hash functions (and ...
Mridul Nandi
CORR
2008
Springer
77views Education» more  CORR 2008»
13 years 9 months ago
Optimal hash functions for approximate closest pairs on the n-cube
One way to find closest pairs in large datasets is to use hash functions [6], [12]. In recent years locality-sensitive hash functions for various metrics have been given: projecti...
Daniel M. Gordon, Victor Miller, Peter Ostapenko