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AIPS
2010
15 years 2 months ago
The Joy of Forgetting: Faster Anytime Search via Restarting
Anytime search algorithms solve optimisation problems by quickly finding a usually suboptimal solution and then finding improved solutions when given additional time. To deliver a...
Silvia Richter, Jordan Tyler Thayer, Wheeler Ruml
HEURISTICS
2002
146views more  HEURISTICS 2002»
14 years 11 months ago
Hybrid Genetic Algorithm for DNA Sequencing with Errors
In the paper, a new hybrid genetic algorithm solving the DNA sequencing problem with negative and positive errors is presented. The algorithm has as its input a set of oligonucleo...
Jacek Blazewicz, Marta Kasprzak, Wojciech Kuroczyc...
AI
2007
Springer
15 years 6 months ago
Adding Local Constraints to Bayesian Networks
When using Bayesian networks, practitioners often express constraints among variables by conditioning a common child node to induce the desired distribution. For example, an ‘orâ...
Mark Crowley, Brent Boerlage, David Poole
EUSFLAT
2009
212views Fuzzy Logic» more  EUSFLAT 2009»
14 years 9 months ago
An Interval Type-2 Fuzzy Distribution Network
Abstract-- Planning resources for a supply chain is a major factor determining its success or failure. In this paper we introduce an Interval Type-2 Fuzzy Logic model of a distribu...
Simon Miller, Viara Popova, Robert John, Mario A. ...
HM
2007
Springer
114views Optimization» more  HM 2007»
15 years 3 months ago
Hybrid Numerical Optimization for Combinatorial Network Problems
Abstract. We discuss a general approach to hybridize traditional construction heuristics for combinatorial optimization problems with numerical based evolutionary algorithms. There...
Markus Chimani, Maria Kandyba, Mike Preuss