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EGC
2005
Springer
16 years 11 hour ago
A Grid-Oriented Genetic Algorithm
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
Jose Herrera, Eduardo Huedo, Rubén S. Monte...
ECAI
2006
Springer
15 years 10 months ago
Asynchronous Forward-Bounding for Distributed Constraints Optimization
A new search algorithm for solving distributed constraint optimization problems (DisCOPs) is presented. Agents assign variables sequentially and propagate their assignments asynchr...
Amir Gershman, Amnon Meisels, Roie Zivan
IR
2010
15 years 5 months ago
Adapting boosting for information retrieval measures
Abstract We present a new ranking algorithm that combines the strengths of two previous methods: boosted tree classification, and LambdaRank, which has been shown to be empiricall...
Qiang Wu, Christopher J. C. Burges, Krysta Marie S...
PPAM
2007
Springer
16 years 18 days ago
Alea - Grid Scheduling Simulation Environment
This work concentrates on the design of a system intended for study of advanced scheduling techniques for planning various types of jobs in a Grid environment. The solution is able...
Dalibor Klusácek, Ludek Matyska, Hana Rudov...
ISSAC
1997
Springer
194views Mathematics» more  ISSAC 1997»
15 years 10 months ago
The Minimised Geometric Buchberger Algorithm: An Optimal Algebraic Algorithm for Integer Programming
IP problems characterise combinatorial optimisation problems where conventional numerical methods based on the hill-climbing technique can not be directly applied. Conventional me...
Qiang Li, Yike Guo, Tetsuo Ida, John Darlington