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TSP
2008
106views more  TSP 2008»
15 years 1 months ago
Guaranteeing Practical Convergence in Algorithms for Sensor and Source Localization
This paper considers localization of a source or a sensor from distance measurements. We argue that linear algorithms proposed for this purpose are susceptible to poor noise perfor...
Baris Fidan, Soura Dasgupta, Brian D. O. Anderson
GECCO
2010
Springer
190views Optimization» more  GECCO 2010»
15 years 6 months ago
Comparing the (1+1)-CMA-ES with a mirrored (1+2)-CMA-ES with sequential selection on the noiseless BBOB-2010 testbed
In this paper, we compare the (1+1)-CMA-ES to the (1+2s m)CMA-ES, a recently introduced quasi-random (1+2)-CMAES that uses mirroring as derandomization technique as well as a sequ...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
15 years 5 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
VIS
2004
IEEE
166views Visualization» more  VIS 2004»
16 years 2 months ago
Centroidal Voronoi Tessellation Based Algorithms for Vector Fields Visualization and Segmentation
A new method for the simplification and the visualization of vector fields is presented based on the notion of Centroidal Voronoi tessellations (CVT's). A CVT is a special Vo...
Qiang Du, Xiaoqiang Wang
VLSID
1993
IEEE
136views VLSI» more  VLSID 1993»
15 years 5 months ago
A Simulation-Based Test Generation Scheme Using Genetic Algorithms
This paper discusses a Genetic Algorithm-based method of generating test vectorsfor detecting faults in combinational circuits. The GA-based approach combines the merits of two te...
M. Srinivas, Lalit M. Patnaik