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arXiv · 1409.7478

An Analysis on Selection for High-Resolution Approximations in Many-Objective Optimization

Hernan Aguirre·Arnaud Liefooghe·Sébastien Verel·Kiyoshi Tanaka
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Abstract

This work studies the behavior of three elitist multi- and many-objective evolutionary algorithms generating a high-resolution approximation of the Pareto optimal set. Several search-assessment indicators are defined to trace the dynamics of survival selection and measure the ability to simultaneously keep optimal solutions and discover new ones under different population sizes, set as a fraction of the size of the Pareto optimal set.

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Hernan Aguirre, Arnaud Liefooghe, Sébastien Verel, Kiyoshi Tanaka. 2014-09-26. An Analysis on Selection for High-Resolution Approximations in Many-Objective Optimization. https://arxiv.org/abs/1409.7478

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