Sciweavers

35 search results - page 1 / 7
» How important is a transfer function in discrete heuristic a...
Sort
View
CEC
2007
IEEE
13 years 11 months ago
SAT-decoding in evolutionary algorithms for discrete constrained optimization problems
— For complex optimization problems, several population-based heuristics like Multi-Objective Evolutionary Algorithms have been developed. These algorithms are aiming to deliver ...
Martin Lukasiewycz, Michael Glaß, Christian ...
CEC
2007
IEEE
13 years 11 months ago
A histogram-matching approach to the evolution of bin-packing strategies
Abstract— We present a novel algorithm for the onedimension offline bin packing problem with discrete item sizes based on the notion of matching the item-size histogram with the...
Riccardo Poli, John Woodward, Edmund K. Burke
MP
1998
109views more  MP 1998»
13 years 4 months ago
Rounding algorithms for covering problems
In the last 25 years approximation algorithms for discrete optimization problems have been in the center of research in the fields of mathematical programming and computer science...
Dimitris Bertsimas, Rakesh V. Vohra
CGO
2007
IEEE
13 years 11 months ago
Evaluating Heuristic Optimization Phase Order Search Algorithms
Program-specific or function-specific optimization phase sequences are universally accepted to achieve better overall performance than any fixed optimization phase ordering. A ...
Prasad Kulkarni, David B. Whalley, Gary S. Tyson
PAMI
2010
168views more  PAMI 2010»
13 years 3 months ago
Surface-from-Gradients without Discrete Integrability Enforcement: A Gaussian Kernel Approach
—Representative surface reconstruction algorithms taking a gradient field as input enforces the integrability constraint in a discrete manner. While enforcing integrability allo...
Heung-Sun Ng, Tai-Pang Wu, Chi-Keung Tang