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GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 4 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
102
Voted
GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
15 years 1 months ago
Hierarchical evolution of linear regressors
We propose an algorithm for function approximation that evolves a set of hierarchical piece-wise linear regressors. The algorithm, named HIRE-Lin, follows the iterative rule learn...
Francesc Teixidó-Navarro, Albert Orriols-Pu...
ALGORITHMICA
2006
93views more  ALGORITHMICA 2006»
15 years 22 days ago
Simultaneous Optimization via Approximate Majorization for Concave Profits or Convex Costs
For multi-criteria problems and problems with poorly characterized objective, it is often desirable to simultaneously approximate the optimum solution for a large class of objecti...
Ashish Goel, Adam Meyerson
ICIAR
2005
Springer
15 years 6 months ago
A Generic Shape Matching with Anchoring of Knowledge Primitives of Object Ontology
We have developed a generic ontology of objects, and a knowledge base of everyday physical objects. Objects are represented as assemblies of functional features and their spatial r...
Dongil Han, Bum-Jae You, Yong Se Kim, Il Hong Suh
ICIP
2008
IEEE
15 years 7 months ago
A Bayesian approach to predicting the perceived interest of objects
This paper presents an algorithm designed to compute the perceived interest of objects in images. We measured likelihood functions via a psychophysical experiment in which subject...
Srivani Pinneli, Damon M. Chandler