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» Solving Hierarchical Optimization Problems Using MOEAs
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CVPR
2009
IEEE
16 years 10 months ago
Efficient Reduction of L-infinity Geometry Problems
This paper presents a new method for computing optimal L1 solutions for vision geometry problems, particularly for those problems of fixed-dimension and of large-scale. Our strat...
Hongdong Li (Australian National University)
EMMCVPR
2009
Springer
15 years 9 months ago
General Search Algorithms for Energy Minimization Problems
We describe a scheme for solving Energy Minimization problems, which is based on the A∗ algorithm accomplished with appropriately chosen LP-relaxations as heuristic functions. Th...
Dmitrij Schlesinger
ENGL
2007
121views more  ENGL 2007»
15 years 3 months ago
A Comparison between Genetic Algorithms and Evolutionary Programming based on Cutting Stock Problem
—Genetic Algorithms (GA) and Evolutionary Programming (EP) are two well-known optimization methods that belong to the class of Evolutionary Algorithms (EA). Both methods have gen...
Raymond Chiong, Ooi Koon Beng
EUROCAST
2005
Springer
102views Hardware» more  EUROCAST 2005»
15 years 8 months ago
Approximation Problems Categories
abstract NP-hard optimization problem, in a general sense. From the observation that, intuitively, there are many connections among categorical concepts and structural complexity n...
Liara Aparecida dos Santos Leal, Dalcidio Moraes C...
AIPS
2011
14 years 6 months ago
Sample-Based Planning for Continuous Action Markov Decision Processes
In this paper, we present a new algorithm that integrates recent advances in solving continuous bandit problems with sample-based rollout methods for planning in Markov Decision P...
Christopher R. Mansley, Ari Weinstein, Michael L. ...