Results 61 to 70 of about 2,517,492 (179)
Controllable Intrinsic Surface Pattern Generation Using Slime Mold Simulations
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 +2 more
wiley +1 more source
A novel economic load dispatch method of microgrid based on hybrid slime mould and genetic algorithm
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
Does Digitalization Widen Labor Income Inequality?
ABSTRACT We develop a growth model that endogenizes the occupational choice of workers with different ability levels to study how digitalization affects labor income inequality. The framework incorporates digitalization's multifaceted effects on the economy: (i) it influences economic growth through automation, and (ii) it affects labor income ...
Jilei Huang +3 more
wiley +1 more source
The hybrid grey wolf optimization-slime mould algorithm
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 +3 more
openaire +1 more source
Advances in Physarum machines: sensing and computing with Slime mould
This book is devoted to Slime mould Physarum polycephalum, which is a large single cell capable for distributed sensing, concurrent information processing, parallel computation and decentralized actuation.
Adamatzky, Andrew +5 more
core +1 more source
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 +6 more
doaj +1 more source
An Enhanced Slime Mould Algorithm Based on Best–Worst Management for Numerical Optimization Problems
The Slime Mould Algorithm (SMA) is a widely used swarm intelligence algorithm. Encouraged by the theory of no free lunch and the inherent shortcomings of the SMA, this work proposes a new variant of the SMA, called the BWSMA, in which three improvement ...
Tong Li +5 more
semanticscholar +1 more source
Abstract The genus Merismopedia (Merismopediaceae, Chroococcales), characterized by rectangular colonies with cells arranged in regular perpendicular rows and columns, represents a challenging study system due to its limited cultivability. The genus recently underwent taxonomic revision using cultivation‐independent techniques and a polyphasic approach.
Jan Pokorný +2 more
wiley +1 more source
Parameter identification of thermoelectric modules using enhanced slime mould algorithm (ESMA)
This paper sets pioneering research which investigates the parametric identification of thermoelectric modules (TEMs) through the employment of enhanced slime mould algorithm (ESMA).
Dharswini Ponnalagu +2 more
doaj +1 more source
Evidentiary Interpretation, Discursive Injustice, and Rap on Trial
ABSTRACT The submission of rap lyrics as inculpatory evidence (Rap on Trial) is an active prosecution tactic deployed in United States criminal trials. In this paper, I argue that interpretive ambiguity in rap lyrics is exploited in Rap on Trial cases, constituting a novel form of discursive injustice: extractive discursive injustice.
K. M. Crandall
wiley +1 more source

