Weightless Swarm Algorithm (WSA) for Dynamic Optimization Problems

Also, when semantic relations are involved allow- ing multiple alignments increases the overall results (which is in line with the relatively high number of 1:n alignments in the

In that way we have proposed a particular model which is a reactive multi-agent system (MAS) model called Logistic Multi-Agent System (LMAS) [5], because of the internal logistic

Section 2 introduce the partition evaluator (PE) developed by Chakravarthy and al [4]; this evaluator will be used as the fitness function for the

The application of the PSO method to adjust parameters of deep neural networks used for the machine learning process would be based on the fact that the PSO algo- rithm would

Following the identification approach proposed to solve this problem and which is based on the reciprocity theorem, the impact location characteristics

This section has been discussed about the results of numerical problem, the performance comparison between proposed with other existing algorithm, convergence rate achieved by

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

A Novel Distributed Particle Swarm Optimization Algorithm for the Optimal Power Flow ProblemN. Nicolo Gionfra, Guillaume Sandou, Houria Siguerdidjane, Philippe Loevenbruck,