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» A New Approach to Improve Particle Swarm Optimization
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WSC
1998
14 years 11 months ago
An Analytical Comparison of Optimization Problem Generation Methodologies
Heuristics are an increasingly popular solution method for combinatorial optimization problems. Heuristic use often frees the modeler from some of the restrictions placed on class...
Raymond R. Hill
AAAI
1998
14 years 11 months ago
"Squeaky Wheel" Optimization
We describe a general approach to optimization which we term Squeaky Wheel" Optimization SWO. In SWO, a greedy algorithm is used to construct a solution which is then analyze...
David Joslin, David P. Clements
SIGIR
2012
ACM
13 years 15 days ago
Robust ranking models via risk-sensitive optimization
Many techniques for improving search result quality have been proposed. Typically, these techniques increase average effectiveness by devising advanced ranking features and/or by...
Lidan Wang, Paul N. Bennett, Kevyn Collins-Thompso...
ALT
2002
Springer
15 years 7 months ago
Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning
We describe a new boosting algorithm that is the first such algorithm to be both smooth and adaptive. These two features make possible performance improvements for many learning ...
Dmitry Gavinsky
ESA
2008
Springer
124views Algorithms» more  ESA 2008»
14 years 12 months ago
Collusion-Resistant Mechanisms with Verification Yielding Optimal Solutions
A truthful mechanism consists of an algorithm augmented with a suitable payment function which guarantees that the "players" cannot improve their utilities by "chea...
Paolo Penna, Carmine Ventre