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» A New Approach to Improve Particle Swarm Optimization
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ICRA
2003
IEEE
151views Robotics» more  ICRA 2003»
15 years 6 months ago
Adaptive real-time particle filters for robot localization
— Particle filters have recently been applied with great success to mobile robot localization. This success is mostly due to their simplicity and their ability to represent arbi...
Cody C. T. Kwok, Dieter Fox, Marina Meila
ECMDAFA
2010
Springer
228views Hardware» more  ECMDAFA 2010»
15 years 4 months ago
Example-Based Sequence Diagrams to Colored Petri Nets Transformation Using Heuristic Search
Dynamic UML models like sequence diagrams (SD) lack sufficient formal semantics, making it difficult to build automated tools for their analysis, simulation and validation. A commo...
Marouane Kessentini, Arbi Bouchoucha, Houari A. Sa...
ISCI
2010
211views more  ISCI 2010»
14 years 12 months ago
A new heuristic approach for non-convex optimization problems
In this work a new optimization method, called the heuristic Kalman algorithm (HKA), is presented. This new algorithm is proposed as an alternative approach for solving continuous,...
Rosario Toscano, Patrick Lyonnet
DAC
1995
ACM
15 years 5 months ago
Orthogonal Greedy Coupling - A New Optimization Approach to 2-D FPGA Routing
We propose a novel optimization scheme that can improve the routing by reducing a newly observed router decaying effect. A pair of greedy-grow algorithms, each emphasizing a diffe...
Yu-Liang Wu, Malgorzata Marek-Sadowska
SASO
2009
IEEE
15 years 8 months ago
Swarming Polyagents Executing Hierarchical Task Networks
Swarming agents often operate in benign geographic topologies that let them explore alternative trajectories with minor variations that the agent dynamics then amplify for improve...
Sven A. Brueckner, Theodore C. Belding, Robert Bis...