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» On the Power of Top-Down Branching Heuristics
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AAAI
2008
13 years 7 months ago
On the Power of Top-Down Branching Heuristics
We study the relative best-case performance of DPLL-based structure-aware SAT solvers in terms of the power of the underlying proof systems. The systems result from (i) varying th...
Matti Järvisalo, Tommi A. Junttila
AIPS
2006
13 years 6 months ago
Exploiting the Power of Local Search in a Branch and Bound Algorithm for Job Shop Scheduling
This paper presents three techniques for using an iterated local search algorithm to improve the performance of a state-of-the-art branch and bound algorithm for job shop scheduli...
Matthew J. Streeter, Stephen F. Smith
CP
2004
Springer
13 years 10 months ago
Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
Vincent A. Cicirello, Stephen F. Smith
UAI
2003
13 years 6 months ago
Systematic vs. Non-systematic Algorithms for Solving the MPE Task
The paper explores the power of two systematic Branch and Bound search algorithms that exploit partition-based heuristics, BBBT (a new algorithm for which the heuristic informatio...
Radu Marinescu 0002, Kalev Kask, Rina Dechter
ISSS
2000
IEEE
127views Hardware» more  ISSS 2000»
13 years 9 months ago
Lower Bound Estimation for Low Power High-Level Synthesis
This paper addresses the problem of estimating lower bounds on the power consumption in scheduled data flow graphs with a fixed number of allocated resources prior to binding. T...
Lars Kruse, Eike Schmidt, Gerd Jochens, Ansgar Sta...