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- W2885298081 abstract "Visualisation is an important aspect of evolutionary computation, enabling practitioners to explore the operation of their algorithms in an intuitive way and providing a better means for displaying their results to problem owners. The presentation of the complex data arising in many-objective evolutionary algorithms remains a challenge, and this work examines the use of treemaps and sunbursts for visualising such data. We present a novel algorithm for arranging a treemap so that it explicitly displays the dominance relations that characterise many-objective populations, as well as considering approaches for creating trees with which to represent multi- and many-objective solutions. We show that treemaps and sunbursts can be used to display important aspects of evolutionary computation, such as the diversity and convergence of a search population, and demonstrate the approaches on a range of test problems and a real-world problem from the literature." @default.
- W2885298081 created "2018-08-22" @default.
- W2885298081 creator A5047099475 @default.
- W2885298081 date "2018-08-07" @default.
- W2885298081 modified "2023-10-18" @default.
- W2885298081 title "Visualisation with treemaps and sunbursts in many-objective optimisation" @default.
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- W2885298081 doi "https://doi.org/10.1007/s10710-018-9329-0" @default.
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