Articles with "evolutionary multitasking" as a keyword



Self-Adaptive Evolutionary Multitasking Algorithm for Mobile Edge Computing in Internet of Things

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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… read more here.

Keywords: edge computing; evolutionary multitasking; internet things; mobile edge ... See more keywords

An Evolutionary Multitasking Method for Multiclass Classification

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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… read more here.

Keywords: classification; evolutionary multitasking; multiclass; method ... See more keywords

LLM2TEA: An Agentic AI Designer for Discovery With Generative Evolutionary Multitasking

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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… read more here.

Keywords: evolutionary multitasking; agentic designer; discovery; generative evolutionary ... See more keywords

Evolutionary Multitasking via Explicit Autoencoding

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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… read more here.

Keywords: evolutionary search; via explicit; multitasking via; explicit autoencoding ... See more keywords

Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem

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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… read more here.

Keywords: optimization; vehicle routing; problem; combinatorial optimization ... See more keywords
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A Fireworks Algorithm Based on Transfer Spark for Evolutionary Multitasking

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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… read more here.

Keywords: evolutionary multitasking; algorithm based; transfer; based transfer ... See more keywords