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We have been experimenting with an idea of extending the information encoded in the ACO pheromone to enhance the efficiency and efficacy of swarm optimization. Up to now this idea has been applied to single-criteria problems; this paper, however, aims at extending it and applying to multi-criteria TSP problems. We focus on presenting the concept of the problem and showing in a statistically significant way that the proposed optimization method works for the selected problems.

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Towards Application of Multi-dimensional ACO Pheromone for Multi-criteria Optimization

  • 会议论文

  • 发表日期：

    2026年

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  • Grazyna Starzec,
  • Mateusz Starzec,
  • Malgorzata Zajecka,
  • Grzegorz Dobrowolski,
  • Aleksander Byrski

摘要

We have been experimenting with an idea of extending the information encoded in the ACO pheromone to enhance the efficiency and efficacy of swarm optimization. Up to now this idea has been applied to single-criteria problems; this paper, however, aims at extending it and applying to multi-criteria TSP problems. We focus on presenting the concept of the problem and showing in a statistically significant way that the proposed optimization method works for the selected problems.