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Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3412777
Abstract: With the advancement of Internet of Things (IoT) technology, IoT smart devices (ISDs) are often frequently constrained by their battery capability and computing ability. In mobile edge computing (MEC) scenarios, ISDs increases computing capability while…
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Keywords:
edge computing;
evolutionary multitasking;
internet things;
mobile edge ... See more keywords
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Published in 2022 at "IEEE Computational Intelligence Magazine"
DOI: 10.1109/mci.2022.3199625
Abstract: As an important research topic of machine learning, multiclass classification has wide applications ranging from computer vision to bioinformatics. A variety of multiclass classification algorithms with promising performance have been proposed. Among them, the decomposition-based…
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Keywords:
classification;
evolutionary multitasking;
multiclass;
method ... See more keywords
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Published in 2024 at "IEEE Computational Intelligence Magazine"
DOI: 10.1109/mci.2025.3592142
Abstract: This paper presents LLM2TEA, a Large Language Model (LLM) driven MultiTask Evolutionary Algorithm, representing the first agentic AI designer of its kind operating with generative evolutionary multitasking (GEM). LLM2TEA enables the crossbreeding of designs from…
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Keywords:
evolutionary multitasking;
agentic designer;
discovery;
generative evolutionary ... See more keywords
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Published in 2019 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2018.2845361
Abstract: Evolutionary multitasking (EMT) is an emerging research topic in the field of evolutionary computation. In contrast to the traditional single-task evolutionary search, EMT conducts evolutionary search on multiple tasks simultaneously. It aims to improve convergence…
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Keywords:
evolutionary search;
via explicit;
multitasking via;
explicit autoencoding ... See more keywords
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Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2019.2962865
Abstract: Recently, evolutionary multitasking (EMT) has been proposed in the field of evolutionary computation as a new search paradigm, for solving multiple optimization tasks simultaneously. By sharing useful traits found along the evolutionary search process across…
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Keywords:
optimization;
vehicle routing;
problem;
combinatorial optimization ... See more keywords
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Published in 2019 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2019.00109
Abstract: In recent years, lots of multifactorial optimization evolutionary algorithms have been developed to optimize multiple tasks simultaneously, which improves the overall efficiency using implicit genetic complementarity between different tasks. In this paper, a novel multitask…
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Keywords:
evolutionary multitasking;
algorithm based;
transfer;
based transfer ... See more keywords