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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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Integrating evolutionary computation with neural networks [PDF]
, 2002 There is a tremendous interest in the development of the evolutionary computation techniques as they are well suited to deal with optimization of functions containing a large number of variables.
E. Vonk +3 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,
Bullock, Seth +2 more
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Reproducibility in Evolutionary Computation [PDF]
ACM Transactions on Evolutionary Learning and Optimization, 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.
Manuel López-ibáñez +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 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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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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Performance analysis of pixelated antennas employing shifted cross‐shaped elements
IET Microwaves, Antennas & Propagation, 2023 This article presents a detailed analysis of pixelated antennas employing shifted cross‐shaped elements optimised by evolutionary algorithms. Although, the size and number of the involved pixels, as well as the overall antenna size strongly influence ...
Dominik Mair +3 more
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Proceedings of the 12th annual conference companion on Genetic and evolutionary computation, 2007 The field of Evolutionary Computation has experienced tremendous growth over the past 20 years, resulting in a wide variety of evolutionary algorithms and applications. The result poses an interesting dilemma for many practitioners in the sense that, with such a wide variety of algorithms and approaches, it is often hard to se the relationships between
Leguizamón, Guillermo +2 more
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Wankelmut: A Simple Benchmark for the Evolvability of Behavioral Complexity
Applied Sciences, 2021 In evolutionary robotics, an encoding of the control software that maps sensor data (input) to motor control values (output) is shaped by stochastic optimization methods to complete a predefined task. This approach is assumed to be beneficial compared to
Thomas Schmickl +2 more
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