Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
×
We experimentally show that the algorithm based on the new model improves the converging speed and can find better solutions in comparison with the algorithm ...
In this paper, we propose a new model of Ant. Colony Optimization (ACO) to solve the traveling salesman problem (TSP). In the new model, we.
In this paper, we propose a new model of Ant. Colony Optimization (ACO) to solve the traveling salesman problem (TSP). In the new model, we.
Abstract. In this paper, we propose a new model of Ant Colony Optimization (ACO) to solve the traveling salesman problem (TSP). In the new model, we introduce ...
People also ask
We experimentally show that the algorithm based on the new model improves the converging speed and can find better solutions in comparison with the algorithm ...
May 16, 2023 · Singh et al. (2021) utilized a deep learning model, the truncated VGG16 (Visual Geometry Group, Oxford), to examine COVID-19 computed tomography ...
Bibliographic details on An Ant Colony Optimization Algorithm Based on the Experience Model.
The learning automata performs different kinds of pheromone updating schemes, including a novel intragroup evolutionary information-guided strategy and two ...
We propose a tourism route planning method based on contextual information feedback mechanism and ant colony optimization algorithm in this paper. The major ...
Next, we propose a supervised trajectory classification approach using a combination of global and Segmental Hidden Markov Model (HMM) based classifiers.