Results 11 to 20 of about 709,118 (272)
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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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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Evolving Evolutionary Algorithms with Patterns [PDF]
Soft Computing, Springer-Verlag Vol. 11, Issue 6, pp. 503-518,
2007, 2021 A new model for evolving Evolutionary Algorithms (EAs) is proposed in this paper. The model is based on the Multi Expression Programming (MEP) technique. Each MEP chromosome encodes an evolutionary pattern that is repeatedly used for generating the individuals of a new generation. The evolved pattern is embedded into a standard evolutionary scheme that
arxiv +1 more source
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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Evolving Evolutionary Algorithms using Linear Genetic Programming [PDF]
Evolutionary Computation, MIT Press, Vol. 13, Issue 3, pp.
387-410, 2005, 2021 A new model for evolving Evolutionary Algorithms is proposed in this paper. The model is based on the Linear Genetic Programming (LGP) technique. Every LGP chromosome encodes an EA which is used for solving a particular problem. Several Evolutionary Algorithms for function optimization, the Traveling Salesman Problem, and the Quadratic Assignment ...
arxiv +1 more source