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Mostrando ítems 91-96 de 96
Memetic Evolutionary Multi-Objective Neural Network Classifier to Predict Graft Survival in Liver Transplant Patients
(2017-02-17)
In liver transplantation, matching donor and recipient is a
problem that can be solved using machine learning techniques.
In this paper we consider a liver transplant dataset
obtained from eleven Spanish hospitals, ...
Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm
(IOS Press, 2014)
The extraction of useful information for decision making is a challenge in many different domains. Association rule mining is one of the most important techniques in this field, discovering relationships of interest among ...
Recomputing Causality Assignments on Lumped Process Models When Adding New Simplification Assumptions
(MDPI, 2018)
This paper presents a new algorithm for the resolution of over-constrained lumped process
systems, where partial differential equations of a continuous time and space model of the system
are reduced into ordinary ...
Interactive multi-objective evolutionary optimization of software architectures
(Elsevier, 2018)
While working on a software specification, designers usually need to evaluate different architectural alternatives to be sure that quality criteria are met. Even when these quality aspects could be expressed in terms of ...
JCLEC-MO: A Java suite for solving many-objective optimization engineering problems
(Elsevier, 2019)
Although metaheuristics have been widely recognized as efficient techniques to solve real-world optimization problems, implementing them from scratch remains difficult for domain-specific experts without programming skills. ...
An approach for the evolutionary discovery of software architectures
(Elsevier, 2015)
Software architectures constitute important analysis artefacts in software projects, as they reflect the main functional blocks of the software. They provide high-level analysis artefacts that are useful when architects ...