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» A Multiobjective Frontier Search Algorithm
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ICIP
2010
IEEE
13 years 6 months ago
Sparse shapes prototype modeling using genetic algorithms
The process of finding representative shape patterns from sparse datasets is a challenging task: especially for non-rigid objects, shape deformations through time can produce very...
Stefano Maludrottu, Hany Sallam, Carlo S. Regazzon...
ICES
2003
Springer
151views Hardware» more  ICES 2003»
14 years 2 months ago
Using Genetic Programming and High Level Synthesis to Design Optimized Datapath
This paper presents a methodology to design optimized electronic systems from high abstraction level descriptions. The methodology uses Genetic Programming in addition to high-leve...
Sérgio G. Araújo, Antônio C. M...
EVOW
2012
Springer
12 years 4 months ago
Multiobjectivizing the HP Model for Protein Structure Prediction
Abstract. The hydrophobic-polar (HP) model for protein structure preabstracts the fact that hydrophobic interactions are a dominant force in the protein folding process. This model...
Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregor...
GECCO
2007
Springer
135views Optimization» more  GECCO 2007»
14 years 2 months ago
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms
In this work we present a novel and efficient algorithm– independent stopping criterion, called the MGBM criterion, suitable for Multiobjective Optimization Evolutionary Algorit...
Luis Martí, Jesús García, Ant...
EC
2002
228views ECommerce» more  EC 2002»
13 years 8 months ago
Improved Sampling of the Pareto-Front in Multiobjective Genetic Optimizations by Steady-State Evolution: A Pareto Converging Gen
Previous work on multiobjective genetic algorithms has been focused on preventing genetic drift and the issue of convergence has been given little attention. In this paper, we pre...
Rajeev Kumar, Peter Rockett