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» Local Search Algorithms for SAT: An Empirical Evaluation
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CDC
2009
IEEE
138views Control Systems» more  CDC 2009»
14 years 9 months ago
Beyond local optimality: An improved approach to hybrid model learning
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
Stephanie Gil, Brian Williams
AAAI
2007
15 years 2 months ago
Best-First AND/OR Search for Graphical Models
The paper presents and evaluates the power of best-first search over AND/OR search spaces in graphical models. The main virtue of the AND/OR representation is its sensitivity to ...
Radu Marinescu 0002, Rina Dechter
GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
15 years 27 days ago
The micro-genetic operator in the search of global trends
This work studies the mGA operator (Micro Genetic Algorithm), that has been proposed in literature as a “local search” operator for optimization with Genetic Algorithm. A new ...
Flávio V. C. Martins, Eduardo G. Carrano, E...
AI
1998
Springer
14 years 11 months ago
GAS, A Concept on Modeling Species in Genetic Algorithms
This paper introduces a niching technique called GAS (S stands for species) which dynamically creates a subpopulation structure (taxonomic chart) using a radius function instead of...
Márk Jelasity, József Dombi
ATAL
2009
Springer
15 years 6 months ago
Evaluating hybrid constraint tightening for scheduling agents
Hybrid Scheduling Problems (HSPs) combine temporal and finite-domain variables via hybrid constraints that dictate that specific bounds on temporal constraints rely on assignments...
James C. Boerkoel Jr., Edmund H. Durfee