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ECML
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. This paper introduces the use of multi-objective evolutionary algorithms in multiple instance learning. In order to achieve this purpose, a multi-objective grammar-guided...
ICDCS
2003
IEEE
15 years 3 months ago
2003
IEEE
Dynamic module replacement — the ability to hot swap a component’s implementation at runtime — is fundamental to supporting evolutionary change in long-lived and highlyavail...
EMO
2005
Springer
15 years 3 months ago
2005
Springer
With the invention of microarray technology, researchers are able to measure the expression levels of ten thousands of genes in parallel at various time points of a biological proc...
GECCO
2003
Springer
15 years 3 months ago
2003
Springer
Reliable execution and analysis of an evolutionary algorithm (EA) normally requires many runs to provide reasonable assurance that stochastic effects have been properly considered...
GECCO
2007
Springer
15 years 4 months ago
2007
Springer
There exist a number of high-performance Multi-Objective Evolutionary Algorithms (MOEAs) for solving MultiObjective Optimization (MOO) problems; two of the best are NSGA-II and -M...