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Epigenetic opportunities for evolutionary computation [PDF]
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 +2 more
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Using Evolutionary Computation on GPS Position Correction [PDF]
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
Jung Yi Lin
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Electrical behaviour and evolutionary computation in thin films of bovine brain microtubules. [PDF]
Vissol-Gaudin E +6 more
europepmc +3 more sources
Evolutionary Computation for Air Transportation: A Survey [PDF]
As the demand for air transportation continues to grow, airspace congestion, flight delays, operational costs, and safety have become important and challenging issues.
Rui Huang, Zong-Gan Chen
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Discriminative biomarker selection using hybrid multi-population evolutionary computation [PDF]
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
Alok Kumar Shukla +2 more
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Optimal Synthesis of Four-Bar Linkage Path Generation through Evolutionary Computation with a Novel Constraint Handling Technique. [PDF]
Sleesongsom S, Bureerat S.
europepmc +3 more sources
Evolutionary Computation Visualization: ECvis
This paper presents a visualisation tool (ECvis) that aids the development of population based numerical optimisation algorithms such as genetic algorithms and differential evolution.
Dylan M. Janssen +2 more
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Survey on Evolutionary Recurrent Neural Networks [PDF]
Evolutionary computation utilizes natural selection mechanisms and genetic laws in the process of biological evolution to solve optimization problems.The accuracy and efficiency of the evolutionary recurrent neural network model depends on the ...
HU Zhongyuan, XUE Yu, ZHA Jiajie
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Evolutionary Computation for Global Optimization – Current Trends
This article comments on the development of Evolutionary Computation (EC) in the field of global optimization. A brief overview of EC fundamentals is provided together with the discussion of issues of parameter settings and adaptation, advances in the ...
Jarosław Arabas
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Evolutionary computation [PDF]
Evolution does not require DNA, or even living organisms. In computer science, the field known as 'evolutionary computation' uses evolution as an algorithmic tool, implementing random variation, reproduction and selection by altering and moving data within a computer.
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