An Evolutionary Multitasking Method for Multiclass Classification
Sign Up to like & getrecommendations! 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
Evolutionary Multitasking via Explicit Autoencoding
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
A Fireworks Algorithm Based on Transfer Spark for Evolutionary Multitasking
Sign Up to like & getrecommendations! 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