Search Results - "Multifactorial evolution algorithm"
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A parametric segmented multifactorial evolutionary algorithm based on a three-phase analysis
ISSN: 0924-669X, 1573-7497Published: New York Springer US 01.11.2023Published in Applied intelligence (Dordrecht, Netherlands) (01.11.2023)“…Evolutionary multitasking optimization, which concentrates on solving multiple tasks simultaneously, has been a core area of interest for researchers in recent…”
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Journal Article -
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A Three-Layered Multifactorial Evolutionary Algorithm with Parallelization for Large-Scale Engraving Path Planning
ISSN: 2079-9292, 2079-9292Published: Basel MDPI AG 01.06.2022Published in Electronics (Basel) (01.06.2022)“…Today, although laser engraving technology is widely used in 2D image engraving, when the image is larger and more complicated, most existing algorithms for…”
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Journal Article -
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Multitask Augmented Random Search in deep reinforcement learning
ISSN: 1568-4946, 1872-9681Published: Elsevier B.V 01.07.2024Published in Applied soft computing (01.07.2024)“…Reinforcement Learning (RL) has gained significant popularity in recent years for its ability to solve complex control problems. However, most existing RL…”
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Journal Article -
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A modified multifactorial differential evolution algorithm with optima-based transformation
ISSN: 0924-669X, 1573-7497Published: New York Springer US 01.02.2023Published in Applied intelligence (Dordrecht, Netherlands) (01.02.2023)“…Multifactorial evolution algorithm (MFEA) is a powerful search paradigm with the purpose of addressing multiple optimization tasks simultaneously in the field of evolutionary computation…”
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Journal Article -
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Surrogate-Assisted Task Selection for Evolutionary Multitasking Optimization
Published: IEEE 10.06.2022Published in 2022 IEEE 2nd International Conference on Software Engineering and Artificial Intelligence (SEAI) (10.06.2022)“…In the evolution algorithm, evolutionary multi-task optimization (EMTO) is recently proposed as a novel optimization paradigm for simultaneously solving…”
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Conference Proceeding -
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Multi-objectives design optimization based on multi-objectives Gaussian processes for System-in-Package
ISSN: 2377-5726Published: IEEE 01.06.2021Published in Proceedings / Electronic Components Conference (01.06.2021)“…Since electronic devices based on System-in-Package technologies become sophisticated, the number of components and the complexity of internal structure of…”
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Conference Proceeding