As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …

The greatest and fastest advances in the computing world today require researchers to
develop new problem-solving techniques capable of providing an optimal global solution …

Many natural disasters in South America are linked to meteorological phenomena.
Therefore, forecasting and monitoring climatic events are fundamental issues for society and …

In recent years, several optimization methods especially metaheuristic optimization methods
have been developed by scientists. People have utilized power of nature to solve problems …

Nature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a
comprehensive introduction to the methodologies and algorithms in nature-inspired …

This paper proposes a unique method for estimating three-diode photovoltaic (PV) model
parameters that uses an enhanced Newton–Raphson (NR) method and the selective …

Heuristic methods, for global optimization, have been receiving much interest in the last
years, among which Particle Swarm Optimization (PSO) algorithm can be highlighted …

A critical task of structural health monitoring is damage detection and localization. Lamb
wave propagation methods have been successfully applied for damage identification in …

Optimization of neural network topology, weights and neuron activation functions for given
data set and problem is not an easy task. In this article, a technique for automatic …

To generate reliable forecasts, we need good estimates of both the current system state and
the model parameters. Numerical weather prediction (NWP) uses atmospheric general …