A novel hybrid PSO–GWO algorithm for optimization problems
In this study, we propose a new hybrid algorithm fusing the exploitation ability of the particle
swarm optimization (PSO) with the exploration ability of the grey wolf optimizer (GWO). Our …
swarm optimization (PSO) with the exploration ability of the grey wolf optimizer (GWO). Our …
Genetic algorithm approach to design of multi-layer perceptron for combined cycle power plant electrical power output estimation
In this paper a genetic algorithm (GA) approach to design of multi-layer perceptron (MLP) for
combined cycle power plant power output estimation is presented. Dataset used in this …
combined cycle power plant power output estimation is presented. Dataset used in this …
EA-MSCA: An effective energy-aware multi-objective modified sine-cosine algorithm for real-time task scheduling in multiprocessor systems: Methods and analysis
With the significant growth of multiprocessor systems (MPS) to deal with complex tasks and
speed up their execution, the energy generated as a result of this growth becomes one of …
speed up their execution, the energy generated as a result of this growth becomes one of …
METSM: Multiobjective energy-efficient task scheduling model for an edge heterogeneous multiprocessor system
Q Jiang, X ** of spiking neural networks to neuromorphic hardware
Neuromorphic architectures implement biological neurons and synapses to execute
machine learning algorithms with spiking neurons and bio-inspired learning algorithms …
machine learning algorithms with spiking neurons and bio-inspired learning algorithms …
Energy-quality-time optimized task map** on DVFS-enabled multicores
Multicore architectures have great potential for energy-constrained embedded systems,
such as energy-harvesting wireless sensor networks. Some embedded applications …
such as energy-harvesting wireless sensor networks. Some embedded applications …