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Adaptive simulated binary crossover for rotated multi-objective optimization
Swarm and Evolutionary Computation, 2021Crossover is a crucial operation for generating promising offspring solutions in evolutionary multi-objective optimization. Among various crossover operators, the simulated binary crossover (SBX) is the most widely used in evolutionary multi-objective ...
Linqiang Pan +4 more
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Behavior of crossover operators in NSGA-III for large-scale optimization problems
Information Sciences, 2020Traditional multi-objective optimization evolutionary algorithms (MOEAs) do not usually meet the requirements for online data processing because of their high computational costs.
Jiao-Hong Yi +6 more
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2009 IEEE Virtual Reality Conference, 2009
VR applications provide an opportunity to study a variety of new applications. One of the focus areas of the media convergence, games and media integration (McGMI) program is to develop new media applications for the visually impaired population. We are particularly interested in developing applications which are at the same time interesting for the ...
Brian Wilke +6 more
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VR applications provide an opportunity to study a variety of new applications. One of the focus areas of the media convergence, games and media integration (McGMI) program is to develop new media applications for the visually impaired population. We are particularly interested in developing applications which are at the same time interesting for the ...
Brian Wilke +6 more
openaire +1 more source
Review of hydrogen crossover through the polymer electrolyte membrane
, 2021Proton exchange membrane fuel cell (PEMFC) is considered to be a promising, clean, and efficient energy conversion device. At present, the main challenges faced by the application of PEMFC in the automotive are cost and durability. Hydrogen from anode to
Qianwen Tang +5 more
semanticscholar +1 more source
IEEE Computer Graphics and Applications, 2010
This installment looks at the work of Warren Furman, who creates art based on digital imagery.
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This installment looks at the work of Warren Furman, who creates art based on digital imagery.
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IEEE Transactions on Computers, 1981
Summary: Those bases which permit the realization of a planar crossover are characterized.
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Summary: Those bases which permit the realization of a planar crossover are characterized.
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The Detrimentality of Crossover
2007The traditional concept of a genetic algorithm (GA) is that of selection, crossover and mutation. However, data from the literature has suggested that the niche for the beneficial effect of crossover upon GA performance may be smaller than has been traditionally held.
Andrew Czarn +3 more
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Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, 2007
The traditional GA theory is pillared on the Building Block Hypothesis (BBH) which states that Genetic Algorithms (GAs) work by discovering, emphasizing and recombining low order schemata in high-quality strings, in a strongly parallel manner. Historically, attempts to capture the topological fitness landscape features which exemplify this intuitively ...
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The traditional GA theory is pillared on the Building Block Hypothesis (BBH) which states that Genetic Algorithms (GAs) work by discovering, emphasizing and recombining low order schemata in high-quality strings, in a strongly parallel manner. Historically, attempts to capture the topological fitness landscape features which exemplify this intuitively ...
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, 2020
We reveal that a significant amount (>30%) of the liquid products from electrochemical CO2 reduction (CO2RR) in a flow reactor can cross the gas diffusion electrode (GDE) and anion exchange membrane (AEM).
Jie Zhang, W. Luo, A. Züttel
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We reveal that a significant amount (>30%) of the liquid products from electrochemical CO2 reduction (CO2RR) in a flow reactor can cross the gas diffusion electrode (GDE) and anion exchange membrane (AEM).
Jie Zhang, W. Luo, A. Züttel
semanticscholar +1 more source
Crossover Enhancements in GEFREX
IEEE Transactions on Neural Networks, 2005This letter describes some improvements to the crossover operator in the genetic-neuro-fuzzy algorithm called genetic fuzzy rule extractor (GEFREX). Although, the new crossovers studied are very simple, the performance of GEFREX, in terms of learning time, is decidedly improved.
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