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Memes co-evolution strategies for fast convergence in solving single machine scheduling problems

机译：Memes协同进化策略可快速解决单机调度问题

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In recent years, researchers have become more aware of the significance and importance of memes in computational problem-solving. It is now generally accepted that collectively, memes as a group or population undergo evolution just like genes, competition and collaboration. In this paper, we present a memes co-evolutionary framework for solving the single machine total weighted tardiness problem. The mechanisms of memes co-evolution serve to promote diversity not just in the solutions, but also within the memes that participate in the search. Our results show convincingly that the memes co-evolution strategies are able to improve the performance in solving several difficult benchmarks of weighted tardiness single-machine scheduling problems.
机译：近年来，研究人员越来越意识到模因在计算问题解决中的重要性和重要性。现在，人们普遍认为，模因作为一个群体或群体共同经历着进化，就像基因，竞争和协作一样。在本文中，我们提出了一个模因协同进化框架，用于解决单机总加权拖尾问题。模因共同进化的机制不仅可以促进解决方案的多样性，还可以促进参与搜索的模因的多样性。我们的结果令人信服地表明，模因协同进化策略能够解决加权拖后单机调度问题的多个困难基准，从而提高性能。

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