16 papers · ranked by Valyu relevance
Xiaoyi Zhang, Qixuan Liu, Xinyao Bai, Seyedali Mirjalili
In this article, an improved slime mould algorithm (SMA-CSA) is proposed for solving global optimization and the capacitated vehicle routing problem (CVRP). This improvement is based on the mixed-strategy optimization of Cauchy mutation and simulated annealing to alleviate the lack of global optimization capability of…
Hongmin Chen, Zhuo Wang, Heming Jia, Xindong Zhou + 2 more
'Huiling Chen'] The slime mold algorithm (SMA) and the arithmetic optimization algorithm (AOA) are two novel meta-heuristic optimization algorithms. Among them, the slime mold algorithm has a strong global search ability. Still, the oscillation effect in the later iteration stage is weak, making it difficult to find…
Ling Zheng, Chengzhi Hong, Huashan Song, Rong Chen
Introduction Autonomous mobile robot encompasses modules such as perception, path planning, decision-making, and control. Among these modules, path planning serves as a prerequisite for mobile robots to accomplish tasks. Enhancing path planning capability of mobile robots can effectively save costs, reduce energy…
Pham Vu Hong Son, Luu Ngoc Quynh Khoi
This study presents the Slime Mold Algorithm (SMA) to solve the time-cost-quality trade-off problem in a construction project. The proposed SMA is a flexible and efficient algorithm in exploration and exploitation to reach the best optimal solution to process the input model’s data. This paper aims to discuss and solve…
Laura P. Schaposnik, Sheryl Hsu, Fidel I. Schaposnik Massolo
We create a novel Physarum Steiner algorithm designed to solve the Euclidean Steiner tree problem. Physarum is a unicellular slime mold with the ability to form networks and fuse with other Physarum organisms. We use the simplicity and fusion of Physarum to create large swarms which independently operate to solve the…
Andrew Adamatzky
Slime mould Physarum polycephalum is a large single cell capable for distributed sensing, concurrent information processing, parallel computation and decentralised actuation. The ease of culturing and experimenting with Physarum makes this slime mould an ideal substrate for real-world implementations of unconventional…
Vincenzo Bonifaci, Enrico Facca, Frederic Folz, Andreas Karrenbauer + 5 more
'Pavel Kolev' 'Kurt Mehlhorn' 'Giovanna Morigi' 'Golnoosh Shahkarami' 'Quentin Vermande'] In wet-lab experiments, the slime mold Physarum polycephalum has demonstrated its ability to tackle a variety of computing tasks, among them the computation of shortest paths and the design of efficient networks. For the shortest…
Yusuke Miyajima, Masahito Mochizuki
combinatorial optimization machine Authors: ['Yusuke Miyajima' 'Masahito Mochizuki'] Abstract: A single-celled amoeba can solve the traveling salesman problem through its shapechanging dynamics. In this paper, we examine roles of several elements in a previously proposed computational model of the solution-search…
Fernando Patino-Ramirez, Chloé Arson, Audrey Dussutour
The acellular slime mold Physarum polycephalum provides an excellent model to study network formation, as its network is remodelled constantly in response to mass gain/loss and environmental conditions. How slime molds networks are built and fuse to allow for efficient exploration and adaptation to environmental…
Simone Göttlich, Stephen Knapp, Dylan Weber
Starting from a particle model we derive a macroscopic aggregation-diffusion equation for the evolution of slime mold under the assumption of propagation of chaos in the large particle limit. We analyze properties of the macroscopic model in the stationary case and study the behavior of the slime mold between food…
Fernando Patino-Ramirez, Aurèle Boussard, Chloé Arson, Audrey Dussutour
Cells, including unicellulars, are highly sensitive to external constraints from their environment. Amoeboid cells change their cell shape during locomotion and in response to external stimuli. Physarum polycephalum is a large multinucleated amoeboid cell that extends and develops pseudopods. In this paper, changes in…
Samuel P. Levin, Michael Levin
Prior studies of decision-making generally assume a fixed agent which maximizes utility among its various options. Physarum polycephalum is a popular model for basal cognition that can be cut into pieces that may or may not re-join. We exploited this capacity to develop a novel assay in which radical changes to the…
Andrew Adamatzky
Acellular slime mould Physarum polycephalum is a monstrously large single cell visible by an unaided eye. It shows sophisticated behavioural traits in foraging for nutrients and developing an optimal transport network of protoplasmic tubes spanning sources of nutrients. The slime mould sufficiently approximates…
Eric E Thomson, Mark Harfouche, Pavan C Konda, Catherine Seitz + 11 more
The dynamics of living organisms are organized across many spatial scales, yet existing, cost-effective imaging systems can measure only a subset of these scales at once. Here, we have created a scalable multi-camera array microscope (MCAM) that enables comprehensive high-resolution recording from multiple spatial…
Leo Epstein, Zeth Dubois, Jessica Smith, Yunha Lee + 1 more
This research addresses the interactions between the unicellular slime mold Physarum polycephalum and a red yeast in a spatial ecosystem over week-long imaging experiments. An inverse relationship between the growth rates of both species is shown, where P. polycephalum has positive growth when the red yeast has a…
Tobias Gerber, Cristina Loureiro, Nico Schramma, Siyu Chen + 7 more
In multicellular organisms, the specification, coordination, and compartmentalization of cell types enable the formation of complex body plans. However, some eukaryotic protists such as slime molds generate diverse and complex structures while remaining in a multinucleated syncytial state. It is unknown if different…