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3 days ago · Conclusion. Ant Colony Optimization is a powerful optimization algorithm that draws inspiration from the foraging behavior of ants. By mimicking the pheromone trail laying process, ACO can efficiently explore large solution spaces and find near-optimal solutions to complex optimization problems.
Jun 22, 2024 · The Ant Colony Optimization (ACO) algorithm (Dorigo & Stutzle, 2004) can produce short forms of scales that are optimized with respect to characteristics selected by the developer, such as model fit and predictive relationships with other variables.
Jun 21, 2024 · In this project, we proposed a modified ant colony optimization (ACO) feature selection algorithm incorporating two new rules. The first rule modified the standard heuristic information gain measurement, while the second modified the pheromone update.
Jun 28, 2024 · In this paper, we propose a hybrid approach for solving the symmetric traveling salesman problem. The proposed approach combines the ant colony algorithm (ACO) with neural networks based on the attention mechanism. The idea is to use the predictive capacity of neural...
Jun 24, 2024 · Ant colony optimization (ACO), which is a population intelligence technique that is adept at identifying the optimal paths in graphs, has been primarily used to address tasks separately rather than concurrently.
3 days ago · In an era where sustainability is becoming increasingly crucial, we introduce a new Carbon-Aware Ant Colony System (CAACS) Algorithm that addresses the Generalized Traveling Salesman Problem (GTSP) while minimizing carbon emissions. This novel approach leverages the natural efficiency of ant colony pheromone trails to find optimal routes, balancing both environmental and economic objectives. By integrating sustainability into transportation models, CAACS provides a powerful tool for real ...
4 days ago · We propose four variants of recently proposed multi-timescale algorithm in [1] for ant colony optimization and study their application on a multi-stage shortest path problem.
