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WSC
2004
15 years 1 months ago
Stochastic Approximation with Simulated Annealing as an Approach to Global Discrete-Event Simulation Optimization
This paper explores an approach to global, stochastic, simulation optimization which combines stochastic approximation (SA) with simulated annealing (SAN). SA directs a search of ...
Matthew H. Jones, K. Preston White
AAAI
1998
15 years 1 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 2 months 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...
CADE
2005
Springer
16 years 4 days ago
Proof Planning for First-Order Temporal Logic
Proof planning is an automated reasoning technique which improves proof search by raising it to a meta-level. In this paper we apply proof planning to First-Order Linear Temporal L...
Claudio Castellini, Alan Smaill
ICCAD
1997
IEEE
108views Hardware» more  ICCAD 1997»
15 years 4 months ago
Negative thinking by incremental problem solving: application to unate covering
We introduce a new technique to solve exactly a discrete optimization problem, based on the paradigm of “negative” thinking. The motivation is that when searching the space of...
Evguenii I. Goldberg, Luca P. Carloni, Tiziano Vil...