Physarum machines imitating a Roman road network: the 3D approach
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-06961-y
Abstract: Physarum Polycephalum is a single cell visible by unaided eye. This is a plasmodial, vegetative stage of acellular slime mould. This single cell has myriad of nuclei which contribute to a network of bio-chemical oscillators… read more here.
Keywords: network; physarum; roman; physarum machines ... See more keywords
Optimal tuning of interval type-2 fuzzy controllers for nonlinear servo systems using Slime Mould Algorithm
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2021.1927236
Abstract: This paper presents a novel application of the metaheuristic Slime Mould Algorithm (SMA) to the optimal tuning of interval type-2 fuzzy controllers. Inserting the information feedback model F1 in S... read more here.
Keywords: mould algorithm; type fuzzy; tuning interval; optimal tuning ... See more keywords
Symmetry breaking and inter-clonal behavioural variability in a slime mould
Sign Up to like & getrecommendations! Published in 2018 at "Biology Letters"
DOI: 10.1098/rsbl.2018.0504
Abstract: Cells are dynamic systems capable of switching from isotropic growth to polarized growth even in the absence of any pre-existing external asymmetry. Here, we study this process of symmetry breaking in the acellular slime mould… read more here.
Keywords: inter clonal; breaking inter; slime; symmetry breaking ... See more keywords
G × G × E effect on phenotype expression in a non-conventional model organism, the unicellular slime mould Physarum polycephalum
Sign Up to like & getrecommendations! Published in 2023 at "Biology Letters"
DOI: 10.1098/rsbl.2022.0494
Abstract: In metazoans, the expression of key phenotypic traits is sensitive to two- and three-way interactions between variation in mitochondrial DNA, nuclear DNA and the external environment. Whether gene-by-environment interactions affect phenotypes in single-celled eukaryotes is… read more here.
Keywords: phenotype expression; slime mould; unicellular slime; mould physarum ... See more keywords
Improved Slime Mould Algorithm Hybridizing Chaotic Maps and Differential Evolution Strategy for Global Optimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3183627
Abstract: Slime Mould Algorithm (SMA) is a new meta-heuristics algorithm that is inspired by the behaviors of slime mould from nature. Due to its effective performance, SMA has shown its competitive performance among other meta-heuristics algorithms… read more here.
Keywords: chaotic maps; slime mould; differential evolution; mould algorithm ... See more keywords
Application of Binary Slime Mould Algorithm for Solving Unit Commitment Problem
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3273928
Abstract: A challenging engineering optimization problem in electrical power generation is the unit commitment problem (UCP). Determining the scheduling for the economic consumption of production assets over a specific period is the premier objective of UCP.… read more here.
Keywords: problem; binary slime; unit commitment; slime mould ... See more keywords
Boosting Slime Mould Algorithm for High-Dimensional Gene Data Mining: Diversity Analysis and Feature Selection
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/8011003
Abstract: Slime mould algorithm (SMA) is a new metaheuristic algorithm, which simulates the behavior and morphology changes of slime mould during foraging. The slime mould algorithm has good performance; however, the basic version of SMA still… read more here.
Keywords: slime mould; dimensional gene; high dimensional; mould algorithm ... See more keywords
Optimization in Construction Management Using Adaptive Opposition Slime Mould Algorithm
Sign Up to like & getrecommendations! Published in 2023 at "Advances in Civil Engineering"
DOI: 10.1155/2023/7228896
Abstract: The purpose of this research study is to solve a four-objective optimization problem in the construction industry using a hybrid model that combines the slime mould algorithm (SMA) with opposition-based learning. This hybrid model is… read more here.
Keywords: slime mould; opposition; model; mould algorithm ... See more keywords