Evolutionary multi-task optimization for parameters extraction of photovoltaic models
Sign Up to like & getrecommendations! Published in 2020 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2020.112509
Abstract: Abstract As the demand for solar energy increases dramatically, the optimization and control of photovoltaic systems become increasingly important, accurate and reliable parameter identification of photovoltaic models is always required, which proposes an urgent need… read more here.
Keywords: multi task; evolutionary multi; photovoltaic models; photovoltaic ... See more keywords
Evolutionary multi-objective optimization based ensemble autoencoders for image outlier detection
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.05.012
Abstract: Abstract Image outlier detection has been an important research issue for many computer vision tasks. However, most existing outlier detection methods fail in the high-dimensional image datasets. In order to address this problem, we propose… read more here.
Keywords: detection; evolutionary multi; multi objective; image outlier ... See more keywords
Optimal patent length and patent breadth in an R&D driven market with evolving consumer preferences : an evolutionary multi-agent based modelling approach
Sign Up to like & getrecommendations! Published in 2017 at "Technological Forecasting and Social Change"
DOI: 10.1016/j.techfore.2017.02.005
Abstract: The aims of this paper are twofold. The first is to analyse the interaction between research and development (R&D) activities of firms and heterogeneous consumer preferences in structuring the evolution of an industry. The second… read more here.
Keywords: evolutionary multi; market; patent breadth; consumer preferences ... See more keywords
An Improved S-Metric Selection Evolutionary Multi-Objective Algorithm With Adaptive Resource Allocation
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2877402
Abstract: One of the main disadvantages of evolutionary multi-objective algorithms (EMOAs) based on hypervolume is the computational cost of the hypervolume computation. This deficiency gets worse either when an EMOA calculates the hypervolume several times or… read more here.
Keywords: improved metric; evolutionary multi; multi objective; hypervolume ... See more keywords
Evolutionary Multi-Objective Membrane Algorithm
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2019.2939217
Abstract: Recent advances in evolutionary algorithms based on membrane computing have shown that the mechanism of membrane computing is an effective way to solve optimization problems. In this work, we propose a new evolutionary multi-objective algorithm… read more here.
Keywords: evolutionary multi; membrane; structure; algorithm ... See more keywords
Evolutionary Multi-Objective Optimization in Searching for Various Antimicrobial Peptides [Feature]
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Computational Intelligence Magazine"
DOI: 10.1109/mci.2023.3245731
Abstract: Antimicrobial peptides (AMPs), which are parts of the innate immune response found among all classes of life, are promising in broad-spectrum antibiotics and drug-resistant infection treatments. Although AMPs effectively kill bacteria, numerous AMPs widely distributed… read more here.
Keywords: antimicrobial activity; multi objective; antimicrobial peptides; diversity ... See more keywords
Evolutionary Multi-Objective Workflow Scheduling for Volatile Resources in the Cloud
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cloud Computing"
DOI: 10.1109/tcc.2020.2993250
Abstract: The cloud has been widely used as a distributed computing platform for running scientific workflow applications. Most of the cloud providers encourage the use of their underutilized resources as spot instances for much cheaper prices… read more here.
Keywords: multi objective; objective workflow; volatile resources; scheduling volatile ... See more keywords
Evolutionary Multi–Objective Weather Routing of Sailboats
Sign Up to like & getrecommendations! Published in 2020 at "Polish Maritime Research"
DOI: 10.2478/pomr-2020-0054
Abstract: Abstract The paper presents a multi-objective method, which optimises the route of a sailboat. The presented method makes use of an evolutionary multi-objective (EMO) algorithm, which performs the optimisation according to three objective functions: total… read more here.
Keywords: evolutionary multi; objective weather; multi objective; method ... See more keywords