Results 61 to 70 of about 2,726 (189)

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  

Evolving Gene Regulatory Networks with Mobile DNA Mechanisms

, 2013
This paper uses a recently presented abstract, tuneable Boolean regulatory network model extended to consider aspects of mobile DNA, such as transposons.
Adamatzky, Andrew, Bull, Larry
core   +1 more source

A biologically inspired network design model [PDF]

, 2015
A network design problem is to select a subset of links in a transport network that satisfy passengers or cargo transportation demands while minimizing the overall costs of the transportation.
Adamatzky, A., Adamatzky, A., Chan, F., Chan, F., Deng, Y., Deng, Y., Mahadevan, S., Mahadevan, S., Sirakoulis, G., Sirakoulis, G., Tsompanas, M., Tsompanas, M., Yang, H., Yang, H., Yang, X., Yang, X., Zhang, X., Zhang, X.   +17 more
core   +1 more source

Controllable Intrinsic Surface Pattern Generation Using Slime Mold Simulations

Computer Graphics Forum, EarlyView.
Abstract Surface‐based pattern simulations have proven valuable for texture design and scientific visualization, but existing methods face several limitations. Most simulations either target a narrow range of pattern types (e.g. spots, branching) or support a broad range of patterns at the cost of time‐consuming parameter tuning.
Jeffrey Layton, Faramarz Samavati, Adam Runions   +2 more
wiley   +1 more source

Cellular Automata Applications in Shortest Path Problem

, 2017
Cellular Automata (CAs) are computational models that can capture the essential features of systems in which global behavior emerges from the collective effect of simple components, which interact locally.
A Macwan, A Nash, AI Adamatzky, Anastasios Tsiftsis, C Nieto-Granda, C. Hochberger, C. Y. Lee, Christian Hochberger, D Ferguson, DB Johnson, EW Dijkstra, Fabio M. Marchese, G Ch Sirakoulis, G Ch Sirakoulis, George S. Fishman, H Beigy, Hong Qu, Ioakeim G. Georgoudas, J Li, J Neumann Von, J-H Liang, K Nagel, K. Ioannidis, Konstantinos Ioannidis, Lazaros Nalpantidis, M Defoort, M.A. Porta Garcia, M.G. Kechaidou, Michail-Antisthenis I Tsompanas, Michail-Antisthenis I. Tsompanas, Michail-Antisthenis I. Tsompanas, Michail-Antisthenis I. Tsompanas, Michail-Antisthenis I. Tsompanas, Michail-Antisthenis I. Tsompanas, Nikolaos Dourvas, Nikolaos I. Dourvas, Nikolaos I. Dourvas, O Montiel, PG Tzionas, Q Sun, RW Floyd, S Liu, S Warshall, SK Moghaddam, T Nakagaki, Tiago P. Nascimento, Usman Ahmed Syed, V.S. Kalogeiton, Vasileios G. Ntinas, Vasilis Evangelidis, Vassilios A. Mardiris, Vicky S. Kalogeiton, X Zhang, XGM Wang, XJ Wu, Y Wang   +55 more
core   +1 more source

The hybrid grey wolf optimization-slime mould algorithm

Journal of Physics: Conference Series, 2020
Abstract In this paper, we hybridize the grey wolf optimization (GWO) algorithm with the newly proposed slime mould algorithm (SMA). Comparisons had been made and three kinds of benchmark functions were introduced to verify the capability. 100 Monte Carlo simulation experiments had been carried on to reduce the influence of randomness as
Zheng-Ming Gao, Juan Zhao, Yu Yang, Xue-Jun Tian   +3 more
openaire   +1 more source

How important are within‐occupation task changes for wage growth? Evidence from administrative micro data

Economica, EarlyView.
We examine how changes in task content over time condition occupational wage development. Using survey data from Germany, we document substantial heterogeneity in within‐occupation changes in task content. Combining this evidence with administrative data on individual employment outcomes over a 25‐year period, we find important heterogeneity in wage ...
Ronald Bachmann, Gökay Demir, Colin Green, Arne Uhlendorff   +3 more
wiley   +1 more source

A novel economic load dispatch method of microgrid based on hybrid slime mould and genetic algorithm

Journal of Electrical Systems and Information Technology
The economic load dispatch problem of microgrid strives to optimize the allocation of total power demand among generating units under specific constraints.
Wei Ba, Wei Sun, Chunjiang Zhao, Qi Li
doaj   +1 more source

Gradient-Boosted Decision Tree with used Slime Mould Algorithm (SMA) for wastewater treatment systems

Journal of Water Reuse and Desalination, 2023
One way to improve the infrastructure, operations, monitoring, maintenance, and management of wastewater treatment systems is to use machine learning modelling to make smart forecasting, tracking, and failure prediction systems.
Jyoti Chauhan, R. M. Rani, Vempaty Prashanthi, Hamad Almujibah, Abdullah Alshahri, Koppula Srinivas Rao, Arun Radhakrishnan   +6 more
doaj   +1 more source

Optimal multi-objective discrete decision making using a multidirectional modified Physarum solver [PDF]

, 2012
This paper will address a bio-inspired algorithm able to incrementally grow decision graphs in multiple directions for discrete multi-objective optimization. The algorithm takes inspiration from the slime mould Physarum Polycephalum, an amoeboid organism
Masi, Luca, Vasile, Massimiliano
core