Results 11 to 20 of about 1,205,745 (301)
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 +2 more
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Reproducibility in Evolutionary Computation [PDF]
ACM Transactions on Evolutionary Learning, 2021 Experimental studies are prevalent in Evolutionary Computation ( EC ), and concerns about the reproducibility and replicability of such studies have increased in recent times, reflecting similar concerns in other scientific fields.
Luis Paquete +2 more
exaly +7 more sources
Using Evolutionary Computation on GPS Position Correction [PDF]
The Scientific World Journal, 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
Jung Yi Lin
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Discriminative biomarker selection using hybrid multi-population evolutionary computation [PDF]
Scientific ReportsThe 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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Quality Diversity: A New Frontier for Evolutionary Computation
Frontiers in Robotics and AI, 2016 While evolutionary computation and evolutionary robotics take inspiration from nature, they have long focused mainly on problems of performance optimization.
Justin K Pugh +2 more
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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 +2 more
openaire +3 more sources
Integrated qualitativeness in design by multi-objective optimization and interactive evolutionary computation. [PDF]
, 2005 - The concept of qualitativeness in design is an important one, and needs to be incorporated in the optimization process for a number of reasons outlined in this paper.
Tiwari, Ashutosh +2 more
core +7 more sources
Evolutionary Computation Visualization: ECvis
IEEE Access, 2023 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]
Jisuanji kexue, 2023 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
Journal of Telecommunications and Information Technology, 2023 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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