Scientific insights into Physarum-based modelling: Comment on "Does being multi-headed make you better at solving problems? A survey of Physarum-based models and computations" by C. Gao et al.
Sign Up to like & getrecommendations! Published in 2019 at "Physics of life reviews"
DOI: 10.1016/j.plrev.2019.01.014
Abstract: a Department of Integrative Biology, The University of Texas at Austin, Austin, TX, 78712, United States of America b School of Mechanical and Aerospace Engineering, Nanyang Technological University, 639798, Singapore c Department of Statistics and… read more here.
Keywords: physarum based; scientific insights; insights physarum; university ... See more keywords
When are ants better than slime moulds?: Comment on "Does being multi-headed make you better at solving problems? A survey of Physarum-based models and computations" by C. Gao et al.
Sign Up to like & getrecommendations! Published in 2019 at "Physics of life reviews"
DOI: 10.1016/j.plrev.2019.03.011
Abstract: Computer scientists and biologists have long been excited by the idea of using nature as inspiration for the design of optimisation algorithms. Starting with the ground-breaking advent of the ant colony optimisation algorithm (ACO), which… read more here.
Keywords: physarum based; physarum polycephalum; slime; optimisation ... See more keywords
Solving NP-Hard Problems with Physarum-Based Ant Colony System
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DOI: 10.1109/tcbb.2015.2462349
Abstract: NP-hard problems exist in many real world applications. Ant colony optimization (ACO) algorithms can provide approximate solutions for those NP-hard problems, but the performance of ACO algorithms is significantly reduced due to premature convergence and… read more here.
Keywords: physarum based; solving hard; hard problems; ant colony ... See more keywords