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» Genetic Algorithms for Dynamic Test Data Generation
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CVPR
2007
IEEE
14 years 11 months ago
Generative Graphical Models for Maneuvering Object Tracking and Dynamics Analysis
We study the challenging problem of maneuvering object tracking with unknown dynamics, i.e., forces or torque. We investigate the underlying causes of object kinematics, and propo...
Xin Fan, Guoliang Fan
SIGECOM
2000
ACM
127views ECommerce» more  SIGECOM 2000»
14 years 1 months ago
Towards a universal test suite for combinatorial auction algorithms
General combinatorial auctions—auctions in which bidders place unrestricted bids for bundles of goods—are the subject of increasing study. Much of this work has focused on alg...
Kevin Leyton-Brown, Mark Pearson, Yoav Shoham
AUTOMATICA
2010
127views more  AUTOMATICA 2010»
13 years 7 months ago
Partitioning datasets based on equalities among parameters
When a phenomenon is described by a parametric model and multiple datasets are available, a key problem in statistics is to discover which datasets are characterized by the same p...
Riccardo Porreca, Giancarlo Ferrari-Trecate
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
14 years 3 months ago
Adaptive genetic programming for option pricing
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
Zheng Yin, Anthony Brabazon, Conall O'Sullivan
ECIS
2003
13 years 10 months ago
Towards definitive benchmarking of algorithm performance
One of the primary methods employed by researchers to judge the merits of new heuristics and algorithms is to run them on accepted benchmark test cases and comparing their perform...
Andrew Lim, Wee-Chong Oon, Wenbin Zhu