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ENC
2005
IEEE
15 years 10 months ago
Saving Evaluations in Differential Evolution for Constrained Optimization
Generally, evolutionary algorithms require a large number of evaluations of the objective function in order to obtain a good solution. This paper presents a simple approach to sav...
Efrén Mezura-Montes, Carlos A. Coello Coell...
ISCAS
2005
IEEE
173views Hardware» more  ISCAS 2005»
15 years 10 months ago
CMOS contact imager for monitoring cultured cells
— There is a growing interest in developing low cost, low power, highly integrated biosensor systems to characterize individual cells for applications such as cell analysis, drug...
Honghao Ji, Pamela Abshire, M. Urdaneta, Elisabeth...
PASTE
2005
ACM
15 years 10 months ago
MonDe: safe updating through monitored deployment of new component versions
Safely updating software at remote sites is a cautious balance of enabling new functionality and avoiding adverse effects on existing functionality. A useful first step in this p...
Jonathan E. Cook, Alessandro Orso
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 10 months ago
Greedy, genetic, and greedy genetic algorithms for the quadratic knapsack problem
Augmenting an evolutionary algorithm with knowledge of its target problem can yield a more effective algorithm, as this presentation illustrates. The Quadratic Knapsack Problem e...
Bryant A. Julstrom
160
Voted
MCS
2005
Springer
15 years 10 months ago
Mixture of Gaussian Processes for Combining Multiple Modalities
This paper describes a unified approach, based on Gaussian Processes, for achieving sensor fusion under the problematic conditions of missing channels and noisy labels. Under the ...
Ashish Kapoor, Hyungil Ahn, Rosalind W. Picard