Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Among them, Particle Swarm Optimization (PSO) is highly regarded for its simplicity, ease of implementation, and strong global search capabilities. However, the standard PSO algorithm is prone to ...

Hybrid particle swarm optimization and tabu search for the ... pumps, pipes, valves, sensors and other accessories designed to transport drinking water with sufficient flow and pressure to meet ... S.

The utilization of biogas contributes significantly to the reduction of greenhouse gas emissions and diminishes the dependency on traditional fossil fuels. Nonetheless, the consistency and ...

Keywords: slope stability prediction, least squares support vector machine, improved quantum-behaved particle swarm optimization, benchmark test, optimization. Citation: Yang J (2023) Slope stability ...

Flow chart of the improved fireworks algorithm. ... The parameters of the particle swarm optimization algorithm for wells 1 and 2 were set as follows: ... However, the number of adaptive variant ...

The UWB localization problem can be mapped as an optimization problem, which can be solved by genetic algorithm. ... and adaptive variance σ 2 = 0.1 + L m a x − 1 L m a x , where 1 is the number of ...

Particle Swarm Optimization decreases costs of discovering optimum positions for CHs. Additionally, PSO method in the cluster instead of BS has been executed, making it a semi-distributed technique.