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GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
15 years 6 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 4 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
CVIU
2006
168views more  CVIU 2006»
14 years 11 months ago
Fitting conics to paracatadioptric projections of lines
The paracatadioptric camera is one of the most popular panoramic systems currently available in the market. It provides a wide field of view by combining a parabolic shaped mirror...
João P. Barreto, Helder Araújo
KDD
2012
ACM
194views Data Mining» more  KDD 2012»
13 years 2 months ago
A sparsity-inducing formulation for evolutionary co-clustering
Traditional co-clustering methods identify block structures from static data matrices. However, the data matrices in many applications are dynamic; that is, they evolve smoothly o...
Shuiwang Ji, Wenlu Zhang, Jun Liu
IPPS
1998
IEEE
15 years 4 months ago
An Evolutionary Approach to Multiprocessor Scheduling of Dependent Tasks
The scheduling of application tasks is a problem that occurs in all multiprocessor systems. This problem becomes even more complicated if the tasks are not independent but are inte...
Roman Nossal