The Otsu is combined with an elite comprehensive particle swarm algorithm for image segmentation ... it could not meet the requirements of rapid diagnosis. Swarm intelligence optimization algorithm ...

To improve the efficacy of solving the complicated multiobjective MNIFSP, a MultiDirection Update (MDU) based Multiobjective Particle Swarm Optimization (MDU-MoPSO ... comparison of six classical ...

including genetic algorithm, differential evolution, particle swarm optimization, memetic algorithm, estimation of distribution algorithm, and surrogate model based algorithm. Most of them are ...

Scattering takes place across the universe at large and miniscule scales. Billiard balls clank off each other in bars, the ...

A particular set of probabilistic inference algorithms common in robotics involve Sequential Monte Carlo methods, also known as "particle filtering," which approximates using repeated random sampling.

Yet, using the powerful FICO® Xpress Solver, the Amazon team developed a sophisticated heuristic approach that ... API of Xpress enabled us to tailor our algorithms precisely to our needs, and the ...

Abstract: A new Particle swarm optimisation (PSO) algorithm based on the Hénon chaotic map (hereafter HCPSO algorithm) is presented in this paper to deal with the premature convergence problem of the ...

Functions, examples and data from the book "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2011), ISBN 978-0123756626. Implementation of metaheuristic ...

Genetic algorithm is widely used in multi-objective mechanical structure optimization. In this paper, a genetic algorithm-based optimization method for ladle refractory lining structure is proposed.