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arXiv · 2207.14036

Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem

Adel Nikfarjam·Aneta Neumann·Jakob Bossek·Frank Neumann
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Abstract

Recently different evolutionary computation approaches have been developed that generate sets of high quality diverse solutions for a given optimisation problem. Many studies have considered diversity 1) as a mean to explore niches in behavioural space (quality diversity) or 2) to increase the structural differences of solutions (evolutionary diversity optimisation). In this study, we introduce a co-evolutionary algorithm to simultaneously explore the two spaces for the multi-component traveling thief problem. The results show the capability of the co-evolutionary algorithm to achieve significantly higher diversity compared to the baseline evolutionary diversity algorithms from the the literature.

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Adel Nikfarjam, Aneta Neumann, Jakob Bossek, Frank Neumann. 2022-07-28. Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem. https://arxiv.org/abs/2207.14036

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