Proposed modified computational model for the amoeba-inspired combinatorial optimization machine
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914747805335552 |
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| author | Miyajima, Yusuke Mochizuki, Masahito |
| author_facet | Miyajima, Yusuke Mochizuki, Masahito |
| contents | A single-celled amoeba can solve the traveling salesman problem through its shape-changing dynamics. In this paper, we examine roles of several elements in a previously proposed computational model of the solution-search process of amoeba and three modifications towards enhancing the solution-search preformance. We find that appropriate modifications can indeed significantly improve the quality of solutions. It is also found that a condition associated with the volume conservation can also be modified in contrast to the naive belief that it is indispensable for the solution-search ability of amoeba. A proposed modified model shows much better performance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_06828 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Proposed modified computational model for the amoeba-inspired combinatorial optimization machine Miyajima, Yusuke Mochizuki, Masahito Neural and Evolutionary Computing Disordered Systems and Neural Networks Artificial Intelligence Chaotic Dynamics Computation A single-celled amoeba can solve the traveling salesman problem through its shape-changing dynamics. In this paper, we examine roles of several elements in a previously proposed computational model of the solution-search process of amoeba and three modifications towards enhancing the solution-search preformance. We find that appropriate modifications can indeed significantly improve the quality of solutions. It is also found that a condition associated with the volume conservation can also be modified in contrast to the naive belief that it is indispensable for the solution-search ability of amoeba. A proposed modified model shows much better performance. |
| title | Proposed modified computational model for the amoeba-inspired combinatorial optimization machine |
| topic | Neural and Evolutionary Computing Disordered Systems and Neural Networks Artificial Intelligence Chaotic Dynamics Computation |
| url | https://arxiv.org/abs/2404.06828 |