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 +2 more
exaly +4 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
doaj +2 more sources
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
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
exaly +3 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
Slime Mold Inspired Distribution Network Initial Solution
Energies, 2020 Electricity distribution network optimisation has attracted attention in recent years due to the widespread penetration of distributed generation. A considerable portion of network optimisation algorithms rely on an initial solution that is supposed to ...
Verner Püvi +2 more
exaly +3 more sources
A Node Selecting Approach for Traffic Network Based on Artificial Slime Mold
IEEE Access, 2020 The node selecting problem of traffic network is a significant issue and is difficult to be solved. In this paper, an artificial slime mold method is proposed to help us solve the problem.
Zhengying Cai, Zeping Xiong, Kunpeng Wan
exaly +3 more sources
Chaotic enhanced leader slime mold algorithm for dome structures with frequency constraints [PDF]
Scientific ReportsThis paper introduces the chaotic enhanced leader slime mold algorithm (CELSMA), an advanced bio-inspired optimization technique aimed at addressing high-dimensional engineering challenges.
Arnut Sutha +2 more
doaj +2 more sources