... A discrete PSO algorithm is proposed for minimizing the intercell transfers in [6], however, neither production cost nor production time are considered.
Abstract— Group technology (GT) is a useful way to increase productivity with high quality in cellular manufacturing systems. (CMSs), in which cell ...
People also ask
What is the algorithm of particle swarm optimization?
What kind of optimization problems can be solved by PSO?
What is the application of particle swarm optimization algorithm?
How do you implement particle swarm optimization?
Jan 22, 2021 · In this article, a fuzzy mixed integer linear programming model is designed for cell formation problems including the scheduling of parts within ...
Apr 19, 2022 · In PSO, each potential solution to a given problem is viewed as a particle with a certain velocity flying through the space of the problem just ...
The main contribution of this work is to present a new methodology based on Fuzzy logic and the Particle Swarm Optimization (PSO) to determine the optimum ...
The objectives of this study are to determine the optimal machine cells with optimal processing route and balanced machine cells (minimum cell load variation).
Numerical examples demonstrate that the proposed intelligent particle swarm optimization algorithm significantly outperforms PSO and yields better solutions ...
A hybrid particle swarm optimisation algorithm and fuzzy logic for process planning and production scheduling integration in holonic manufacturing systems.
A new fuzzy-c-means and assignment technique-based cell ...
www.semanticscholar.org › paper › A-ne...
A new fuzzy-c-means and assignment technique-based cell formation algorithm to perform part- type clusters and machine-type clusters separately · 21 Citations.
Sep 15, 2011 · ... cell formation problem that is solved by multi-objective particle swarm optimization (MOPSO) algorithm. The model contains two conflicting ...