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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]
, 1995 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.
Hibbs, R.A. +3 more
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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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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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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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Distributed Computation using Evolutionary Consciousness : An Approach [PDF]
International Journal of Computational Intelligence Systems, 2015 The modeling of biological phenomena and its adaptations to distributed computing are promising research areas. The computational modeling of neurobiological phenomena, such as cognition and consciousness, has potential for applications into bio-inspired
Susmit Bagchi
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Urban-Tissue Optimization through Evolutionary Computation
Mathematics, 2018 The experiments analyzed in this paper focus their research on the use of Evolutionary Computation (EC) applied to a parametrized urban tissue. Through the application of EC, it is possible to develop a design under a single model that addresses multiple
Diego Navarro-Mateu +2 more
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