Review and comparison of algorithms and software for mixed-integer derivative-free optimization
This paper reviews the literature on algorithms for solving bound-constrained mixed-integer
derivative-free optimization problems and presents a systematic comparison of available …
derivative-free optimization problems and presents a systematic comparison of available …
Optimal dissolved gas ratios selected by genetic algorithm for power transformer fault diagnosis based on support vector machine
J Li, Q Zhang, K Wang, J Wang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Dissolved gas analysis (DGA) of oil is used to detect the incipient fault of power
transformers. This paper presents a new approach for transformer fault diagnosis based on …
transformers. This paper presents a new approach for transformer fault diagnosis based on …
The MATLAB genetic algorithm toolbox
AJ Chipperfield, PJ Fleming - 1995 - IET
Together with MATLAB and SIMULlNK, the genetic algorithm (GA) Toolbox described
presents a familiar and unified environment for the control engineer to experiment with and …
presents a familiar and unified environment for the control engineer to experiment with and …
Degradation identification and prognostics of proton exchange membrane fuel cell under dynamic load
Proton exchange membrane (PEM) fuel cell has seen its recent increasing deployment in
both automotive and stationary applications. However, the unsatisfied durability of the fuel …
both automotive and stationary applications. However, the unsatisfied durability of the fuel …
[BOOK][B] Handbook of bioinspired algorithms and applications
This authoritative handbook reveals the connections between bioinspired techniques and
the development of solutions to problems that arise in diverse problem domains. It provides …
the development of solutions to problems that arise in diverse problem domains. It provides …
Genetic algorithm optimization for pre-processing and variable selection of spectroscopic data
RM Jarvis, R Goodacre - Bioinformatics, 2005 - academic.oup.com
Motivation: The major difficulties relating to mathematical modelling of spectroscopic data
are inconsistencies in spectral reproducibility and the black box nature of the modelling …
are inconsistencies in spectral reproducibility and the black box nature of the modelling …
[PDF][PDF] Estimation of the COCOMO model parameters using genetic algorithms for NASA software projects
AF Sheta - Journal of Computer Science, 2006 - researchgate.net
Defining the project estimated cost, duration and maintenance effort early in the
development life cycle is a valuable goal to be achieved for software projects. Many model …
development life cycle is a valuable goal to be achieved for software projects. Many model …
Generating university course timetable using genetic algorithms and local search
In this paper we establish a new algorithm based on genetic algorithms (GA) and sequential
local search to solve course timetabling problem. Universities are challenged to arise in …
local search to solve course timetabling problem. Universities are challenged to arise in …
Improvements in meta-heuristic algorithms for minimum cost design of reinforced concrete rectangular sections under compression and biaxial bending
G Sánchez-Olivares, A Tomás - Engineering Structures, 2017 - Elsevier
A numerical procedure is proposed in this paper for achieving the minimum cost design of
reinforced concrete rectangular sections under compression and biaxial bending by using …
reinforced concrete rectangular sections under compression and biaxial bending by using …
EPILAB: A software package for studies on the prediction of epileptic seizures
A Matlab®-based software package, EPILAB, was developed for supporting researchers in
performing studies on the prediction of epileptic seizures. It provides an intuitive and …
performing studies on the prediction of epileptic seizures. It provides an intuitive and …