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» A hybrid metaheuristic approach to solving the UBQP problem
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ICRA
2005
IEEE
120views Robotics» more  ICRA 2005»
14 years 1 months ago
Hybrid PRM Sampling with a Cost-Sensitive Adaptive Strategy
— A number of advanced sampling strategies have been proposed in recent years to address the narrow passage problem for probabilistic roadmap (PRM) planning. These sampling strat...
David Hsu, Gildardo Sánchez-Ante, Zheng Sun
AIPS
2011
12 years 11 months ago
Directed Search for Generalized Plans Using Classical Planners
We consider the problem of finding generalized plans for situations where the number of objects may be unknown and unbounded during planning. The input is a domain specification...
Siddharth Srivastava, Neil Immerman, Shlomo Zilber...
CP
2004
Springer
14 years 1 months ago
Hybrid Set Domains to Strengthen Constraint Propagation and Reduce Symmetries
In CP literature combinatorial design problems such as sport scheduling, Steiner systems, error-correcting codes and more, are typically solved using Finite Domain (FD) models desp...
Andrew Sadler, Carmen Gervet
CLEIEJ
2010
13 years 5 months ago
Hybrid Rugosity Mesostructures (HRMs) for fast and accurate rendering of fine haptic detail
The haptic rendering of surface mesostructure (fine relief features) in dense triangle meshes requires special structures, equipment, and high sampling rates for detailed perceptio...
Víctor Theoktisto, Marta Fairén Gonz...
GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
14 years 1 months ago
Breeding swarms: a new approach to recurrent neural network training
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural...
Matthew Settles, Paul Nathan, Terence Soule