Hybrid Slime Mold and Arithmetic Optimization Algorithm with Random Center Learning and Restart Mutation [PDF]
Biomimetics, 2023 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.
Hongmin Chen +4 more
doaj +2 more sources
Biomimetic method of emergency life channel urban planning in Wuhan using slime mold networks [PDF]
Heliyon, 2023 This study investigated a bio-inspired approach to planning optimal routes for urban hospital life channels to enable better responses to urban public security incidents.
Gangyi Tan +3 more
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Substrate and cell fusion influence on slime mold network dynamics [PDF]
Scientific Reports, 2021 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.
Fernando Patino-Ramirez +2 more
doaj +2 more sources
An exceptionally stable and widespread hydrated amorphous calcium carbonate precipitated by the dog vomit slime mold Fuligo septica (Myxogastria) [PDF]
Scientific Reports, 2022 Biogenic amorphous calcium carbonate (ACC) is typically metastable and can rapidly transform through aging, dehydration, and/or heating to crystalline calcium carbonate.
Laurence A. J. Garvie +2 more
doaj +2 more sources
Two Results on Slime Mold Computations [PDF]
Theoretical Computer Science, 2017 We present two results on slime mold computations. In wet-lab experiments (Nature'00) by Nakagaki et al. the slime mold Physarum polycephalum demonstrated its ability to solve shortest path problems.
Becker, Ruben +4 more
core +8 more sources
Maximum Lyapunov exponent-based multiple chaotic slime mold algorithm for real-world optimization [PDF]
Scientific Reports, 2023 Slime mold algorithm (SMA) is a nature-inspired algorithm that simulates the biological optimization mechanisms and has achieved great results in various complex stochastic optimization problems.
Jiaru Yang +5 more
doaj +2 more sources
Self-starting slime mold [PDF]
J Cell Biol, 2007 ![Graphic][1] PI3K (arrows) accumulates in the stretching pseudopods of a slithering cell. Hungry cells often wander around, hunting for something tasty. On page [185][2], Sasaki et al.
europepmc +4 more sources
New mid-Cretaceous cryptic slime mold beetles and the early evolution of Sphindidae (Coleoptera: Cucujoidea) [PDF]
Arthropod Systematics & Phylogeny, 2021 The cryptic slime mold beetles, Sphindidae, are a moderately diverse cucujoid beetle family, whose members are obligately tied to slime molds throughout their life.
Yan-Da Li +4 more
doaj +3 more sources
Multiprocessor Fair Scheduling Based on an Improved Slime Mold Algorithm
Algorithms, 2023 An improved slime mold algorithm (IMSMA) is presented in this paper for a multiprocessor multitask fair scheduling problem, which aims to reduce the average processing time.
Manli Dai, Zhongyi Jiang
doaj +1 more source
Investigating Los Angeles’ urban roadway network from a biologically-formed perspective [PDF]
PeerJ, 2020 The evolution of networks is constrained by spatial properties of the environment; a characterization that is true in both biological and built networks.
Sophia Deen +3 more
doaj +2 more sources