Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Tomoko Sakiyama"'
Autor:
Yuta Sakamoto, Tomoko Sakiyama
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Social insects, such as ants, use various pheromones as their social signal. In addition, they use the presence of other ants for decision-making. In this study, we attempted to evaluate if individual decision-making is influenced by the com
Externí odkaz:
https://doaj.org/article/0ecd2b310c3d4116bbdb74d0d4a584ea
Publikováno v:
Complexity, Vol 2021 (2021)
Ant colony optimization (ACO), which is one of the metaheuristics imitating real ant foraging behavior, is an effective method to find a solution for the traveling salesman problem (TSP). The rank-based ant system (ASrank) has been proposed as a de
Externí odkaz:
https://doaj.org/article/0ae73446581a44e7a50dee5ed959cef8
Publikováno v:
Complexity, Vol 2021 (2021)
ASrank has been proposed as an improved version of the ant colony optimisation (ACO) model. However, ASrank includes behaviours that do not exist in the actual biological system and fall into a local solution. To address this issue, we developed ASmu
Externí odkaz:
https://doaj.org/article/e831d36659334b0cb9dd952cd90fc7f0
Autor:
Tomoko Sakiyama, Ikuo Arizono
Publikováno v:
Complexity, Vol 2019 (2019)
Here, we develop a new cellular automata-based traffic model. In this model, individual vehicles cannot estimate global traffic flows but can only detect the vehicle ahead. Each vehicle occasionally adjusts its velocity based on the distance to the v
Externí odkaz:
https://doaj.org/article/d2c7f573f2184b56932be9b985405756
Autor:
Tomoko Sakiyama, Yukio-Pegio Gunji
Publikováno v:
Royal Society Open Science, Vol 5, Iss 3 (2018)
Lévy walks are known to be efficient movements because Lévy walkers search wide areas while restricting returns to previously visited sites. A self-avoiding walk (SAW) is a series of moves on a lattice that visit the same place only once. As such,
Externí odkaz:
https://doaj.org/article/297a516816124ddfbc4155b16c969060
Autor:
Tomoko Sakiyama, Ikuo Arizono
Publikováno v:
Complexity, Vol 2018 (2018)
In this study, we develop two Ant Colony Optimization (ACO) models as new metaheuristic models for solving the time-constrained Travelling Salesman Problem (TSP). Here, the time-constrained TSP means a TSP in which several cities have constraints tha
Externí odkaz:
https://doaj.org/article/21811584f6374105a68195c51353dbd6
Autor:
Tomoko Sakiyama, Ikuo Arizono
Publikováno v:
Complexity, Vol 2017 (2017)
Here, we develop new heuristic algorithm for solving TSP (Travelling Salesman Problem). In our proposed algorithm, the agent cannot estimate tour lengths but detect only a few neighbor sites. Under the circumstances, the agent occasionally ignores th
Externí odkaz:
https://doaj.org/article/43ce1a388bfa47d38869df6d18fd2869
Publikováno v:
Royal Society Open Science, Vol 3, Iss 1 (2016)
Insects use a navigational toolkit consisting of multiple strategies such as path integration, view-dependent recognition methods and olfactory cues. The question arises as to how directional cues afforded by a visual panorama combine with olfactory
Externí odkaz:
https://doaj.org/article/79db5b2021bd4c25af5b25f2dabc140e
Autor:
Tomoko Sakiyama, Yukio-Pegio Gunji
Publikováno v:
Royal Society Open Science, Vol 3, Iss 6 (2016)
Space-use problems have been well investigated. Spatial memory capacity is assumed in many home-range algorithms; however, actual living things do not always exploit spatial memory, and living entities can exhibit adaptive and flexible behaviour usin
Externí odkaz:
https://doaj.org/article/002fe494125b4285b87c731721fc4e75
Autor:
Tomoko Sakiyama, Yukio-Pegio Gunji
Publikováno v:
PLoS ONE, Vol 8, Iss 12, p e81714 (2013)
The Müller-Lyer illusion is a classical geometric illusion in which the apparent (perceived) length of a line depends on whether the line terminates in an arrow tail or arrowhead. This effect may be caused by economic compensation for the gap betwee
Externí odkaz:
https://doaj.org/article/5332520035074928a8724ca28df33033