optimizationswarm intelligenceSwarm-based optimization algorithms have prevailed in the field of metaheuristics for the past decades. With their application field spanning from combinatorial problems to continuous and mixed integer problems, swarm-based algorithms are currently part of the state-of-the-art...
Our experience is that traditional design algorithms tend to have problems finding optimal designs when there are several variables to optimize. They are likely to stall at a local optimum or break down because of the huge computational burden when there are many variables to optimize. Several ...
In the last decades, several swarm-based optimization algorithms have emerged in the scientific literature, followed by a massive increase in terms of their fields of application. Most of the studies and comparisons are restricted to high-level languages (such as MATLAB®) and testing methods on...
An inverse analysis using Particle Swarm Optimization algorithms has been presented to identify different types of surface heat flux in a three dimensional heat conduction problem. The estimated results by using Particle Swarm Optimization with mutation have been compared against the Particle Swarm Optimiza...
Compared with the existing algorithms for solving TSP using swarm intelligence, it has been shown that the size of the solved problems could be increased by using the proposed algorithm. Another PSO-based algorithm is proposed and applied to solve the generalized traveling salesman problem by ...
Metaheuristic algorithms are favored for solving a variety of problems due to their inherent simplicity, ease of implementation, and effective problem-solving capabilities. This study proposes four new hybrid approaches using swarm-based metaheuristic algorithms. Two of these new approaches are HHHOWOA1 ...
Afterwards this paper describes the use of the Swarm Intelligence algorithms in data clustering. Finally the data clustering algorithms based on the Swarm Intelligence are analyzed and discussed.关键词: ant colony optimization clustering swarm intelligence particle swarm optimization ...
DL algorithms effectively analyze the data to extract features from high-dimensional, corresponding data automatically. The competence and potential of DL models in the diagnosis and prognosis of breast cancer have also been investigated using radiographic and histological images, and they have performed ...
PSO-BASEDALGORITHMS FOR PREMATURECONVERGENCE PROBLEM Although PSO is one of the good techniques to find a good solution much faster than the other algorithms, it suffers from the premature convergence. It means that as the time in the PSO increases, the particles' momenta reduce and they tend ...
The results show that the PSO with mutation algorithm is significantly better than other PSO-based algorithms because it can overcome the drawback of trapping in the local optimum points and obtain better inverse solutions. The effects of measurement errors, number of dimensionalities, and number ...