Landscape-based Evolutionary Algorithms for Dynamic Optimization Problems

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Abstract
These data include c++ code, experimental data and analysis results of thesis “Landscape-based Evolutionary Algorithms for Dynamic Optimization Problems” by Kangjing Li.
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Publication Year
2022
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Dataset
Keyword(s)
Evolutionary Computation
Dynamic Optimization
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UNSW Faculty
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Related grant(s)
robust evolutionary analytics for changing and uncertain environments - AUSTRALIAN RESEARCH COUNCIL-DISCOVERY PROJECT - DISCOVERY PROJECT - DP190102637