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Hyperinteractive Evolutionary Computation

IEEE Transactions on Evolutionary Computation, 2011
We propose hyperinteractive evolutionary computation (HIEC), a class of IEC in which the user actively chooses when and how each evolutionary operator is applied. To evaluate the benefits of HIEC, we conducted three human-subject experiments. The first two experiments showed that HIEC is associated with a more positive user experience and produced ...
Hiroki Sayama, Benjamin James Bush
exaly   +3 more sources

Solving equations by hybrid evolutionary computation techniques

IEEE Transactions on Evolutionary Computation, 2000
Xin Yao, Jun He
exaly  

Evolutionary computation: comments on the history and current state

IEEE Transactions on Evolutionary Computation, 1997
Thomas Bäck
exaly  

A general framework for statistical performance comparison of evolutionary computation algorithms

Information Sciences, 2008
Seppo J Ovaska
exaly  

Optimizing neural networks for river flow forecasting – Evolutionary Computation methods versus the Levenberg–Marquardt approach

Journal of Hydrology, 2011
Jaroslaw J Napiorkowski, Adam P Piotrowski   +1 more
exaly  

Knowledge Learning for Evolutionary Computation

IEEE Transactions on Evolutionary Computation
Kay Chen Tan, Zhi-Hui Zhan
exaly  

Epigenetic opportunities for evolutionary computation [PDF]

Royal Society Open Science, 2023
Evolutionary computation is a group of biologically inspired algorithms used to solve complex optimization problems. It can be split into evolutionary algorithms, which take inspiration from genetic inheritance, and swarm intelligence algorithms, that ...
Sizhe Yuen, Thomas H.G. Ezard
exaly   +9 more sources

Using evolutionary computation on GPS position correction. [PDF]

ScientificWorldJournal, 2014
More and more devices are equipped with global positioning system (GPS). However, those handheld devices with consumer-grade GPS receivers usually have low accuracy in positioning. A position correction algorithm is therefore useful in this case. In this
Lin JY.
europepmc   +2 more sources

Discriminative biomarker selection using hybrid multi-population evolutionary computation. [PDF]

Sci Rep
The rapid advancement of Deoxyribonucleic acid (DNA) sequencing technology has gained more attention, especially in interpreting high-dimensional, low-sample-size microarray data for disease identification. However, conventional gene selection techniques
Shukla AK, Dwivedi S, Mishra A.
europepmc   +2 more sources

Prospects for Computational Steering of Evolutionary Computation [PDF]

, 2002
Currently, evolutionary computation (EC) typically takes place in batch mode: algorithms are run autonomously, with the user providing little or no intervention or guidance. Although it is rarely possible to specify in advance, on the basis of EC theory, the optimal evolutionary algorithm for a particular problem, it seems likely that experienced EC ...
Bullock, Seth, Cartlidge, John P, Thompson, M.   +2 more
openaire   +3 more sources