Identification of Dynamical Models of Spatio-temporal Pattern Formation with Applications to Slime Mould [PDF]
, 2011 Spatio-temporal systems are non-linear dynamical systems which include both time and space information. Many natural phenomena and processes can be described by spatio-temporal models, such as pattern formation, chemical reactions and physical dynamics ...
Wang, Shu
core +5 more sources
Implementation of Chaotic Reverse Slime Mould Algorithm Based on the Dandelion Optimizer. [PDF]
Biomimetics (Basel), 2023 This paper presents a hybrid algorithm based on the slime mould algorithm (SMA) and the mixed dandelion optimizer. The hybrid algorithm improves the convergence speed and prevents the algorithm from falling into the local optimal.
Zhang Y, Liu Y, Zhao Y, Wang X.
europepmc +2 more sources
Levy slime mould algorithm for solving numerical and engineering optimization problems [PDF]
, 2022 The proposed Levy Slime Mould Algorithm (LSMA) is a novel metaheuristic algorithm that integrates the Levy distribution into a new metaheuristic called Slime Mould Algorithm (SMA) for solving numerical and engineering problems.
M. A., Ahmad +2 more
core +1 more source
Inverse problem for dynamic structural health monitoring based on slime mould algorithm
, 2021 In this paper, damage detection, localization and quantification are performed using modal strain energy change ratio (MSEcr) as damage indicator combined with a new optimization technique, namely slime mould algorithm (SMA) developed in 2020.
Cuong, Le Thanh +11 more
core +2 more sources
On attraction of slime mould Physarum polycephalum to plants with sedative properties [PDF]
, 2011 A plasmodium of acellular slime mould Physarum polycephalum is a large single cell with many nuclei. Presented to a configuration of attracting and repelling stimuli a plasmodium optimizes its growth pattern and spans the attractants, while avoiding ...
Adamatzky, Andrew, Andrew Adamatzky
core +1 more source
, 2021 Feature selection refers to a process used to reduce the dimension of a dataset in order to obtain the optimal features subset for machine learning and data mining algorithms.
Mirjalili, S +4 more
core +2 more sources
3D Path Planning of UAV Based on Adaptive Slime Mould Algorithm Optimization
, 2023 Aimed at the problems of insufficient search range and optimization performance in 3D path planning of unmanned aerial vehicles (UAVs), and the lack of optimization accuracy of the existing slime mould algorithm (SMA), which is easy to fall into local ...
HUANG He, GAO Yongbo, RU Feng, YANG Lan, WANG Huifeng
core +1 more source
Chaotic slime mould optimization algorithm for global optimization
, 2022 Metaheuristic optimization methods; It is a well-known global optimization approach for large-scale search and optimization problems, commonly used to find the solution many different optimization problems.
Altay O., ALTAY, OSMAN
core +1 more source
A multidirectional modified Physarum solver for discrete decision making [PDF]
, 2012 In this paper, a bio-inspired algorithm able to incrementally grow decision graphs in multiple directions is presented. The heuristic draws inspiration from the behaviour of the slime mould Physarum Polycephalum.
Masi, Luca, Vasile, Massimiliano
core +2 more sources
Multi-strategy Slime Mould Algorithm for hydropower multi-reservoir systems optimization
, 2022 The challenge to determine the best policies for hydropower multiple reservoir systems is a high-dimensional and nonlinear problem, making it challenging to attain a global solution.
Yaseen, Zaher Mundher +17 more
core +1 more source