Results 11 to 20 of about 3,031,483 (337)
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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A survey on evolutionary computation for complex continuous optimization
Artificial Intelligence Review, 2021 Complex continuous optimization problems widely exist nowadays due to the fast development of the economy and society. Moreover, the technologies like Internet of things, cloud computing, and big data also make optimization problems with more challenges ...
Zhi-hui Zhan, Lin Shi, K. Tan, Jun Zhang
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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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Evolutionary Computation for Intelligent Transportation in Smart Cities: A Survey [Review Article]
IEEE Computational Intelligence Magazine, 2022 As the population in cities continues to increase, large-city problems, including traffic congestion and environmental pollution, have become increasingly serious. The construction of smart cities can relieve large-city problems, promote economic growth,
Zong-Gan Chen +3 more
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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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Evolutionary Computation for Large-scale Multi-objective Optimization: A Decade of Progresses
International Journal of Automation and Computing, 2021 Large-scale multi-objective optimization problems (MOPs) that involve a large number of decision variables, have emerged from many real-world applications. While evolutionary algorithms (EAs) have been widely acknowledged as a mainstream method for MOPs,
W. Hong, Peng Yang, K. Tang
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Matrix-Based Evolutionary Computation
IEEE Transactions on Emerging Topics in Computational Intelligence, 2021 Computational intelligence (CI), including artificial neural network, fuzzy logic, and evolutionary computation (EC), has rapidly developed nowadays. Especially, EC is a kind of algorithm for knowledge creation and problem solving, playing a significant ...
Zhi-hui Zhan +9 more
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IEEE Transactions on Evolutionary Computation, 2021 In the last decade, many evolutionary computation (EC) algorithms with diversity enhancement have been proposed to solve large-scale optimization problems in big data era. Among them, the social learning particle swarm optimization (SLPSO) has shown good
Jun-Rong Jian +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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