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GECCO
2009
Springer
132views Optimization» more  GECCO 2009»
14 years 3 months ago
Bringing evolutionary computation to industrial applications with guide
Evolutionary Computation is an exciting research field with the power to assist researchers in the task of solving hard optimization problems (i.e., problems where the exploitabl...
Luís Da Costa, Marc Schoenauer
GECCO
2009
Springer
116views Optimization» more  GECCO 2009»
14 years 26 days ago
String- and permutation-coded genetic algorithms for the static weapon-target assignment problem
In the Weapon-Target Assignment Problem, m enemy targets are inbound, each with a value Vj representing the damage it may do. The defense has n weapons, and the probability that w...
Bryant A. Julstrom
GECCO
2005
Springer
195views Optimization» more  GECCO 2005»
14 years 2 months ago
Evolutionary strategies for multi-scale radial basis function kernels in support vector machines
In support vector machines (SVM), the kernel functions which compute dot product in feature space significantly affect the performance of classifiers. Each kernel function is suit...
Tanasanee Phienthrakul, Boonserm Kijsirikul
ANTSW
2008
Springer
13 years 11 months ago
Adaptive Particle Swarm Optimization
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perfor...
Zhi-hui Zhan, Jun Zhang
GECCO
2005
Springer
121views Optimization» more  GECCO 2005»
14 years 2 months ago
New evolutionary techniques for test-program generation for complex microprocessor cores
Checking if microprocessor cores are fully functional at the end of the productive process has become a major issue. Traditional functional approaches are not sufficient when cons...
Ernesto Sánchez, Massimiliano Schillaci, Ma...