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5 days ago · optimization. swarm intelligence. bibliometric study. 1. Introduction. Ant colony optimization (ACO) is a nature-inspired metaheuristic for solving hard optimization problems. In particular, ACO was inspired by the ability of natural ant colonies to find short paths between their nest and food sources.
5 days ago · Ant colony optimization is used to search for optimal tram routes using a nature-inspired algorithm and the obtained results allow route optimization by selecting the route with the shortest travel time. Nature-inspired algorithms allow us to solve many problems related to the search for optimal solutions. One such issue is the problem of searching for optimal routes. In this paper, ant colony optimization is used to search for optimal tram routes. Ant colony optimization is a method ...
3 days ago · The ant colony algorithm (ACO) was introduced to proffer solutions to difficult combinatorial optimization problems (Dorigo and Blum 2005). The algorithm, when linked to artificial neural network as ANN-ACO, comes off as a robust hybrid modeling and optimization tool for industrial micro-biotechnological processes owing to its mathematical efficiency (Karri et al. 2020 ).
4 days ago · The chapter examines the soundness and key contributions of the 7 meta-heuristics (i.e., Genetics Approaches, Ants Colony Optimization, Bees Algorithm, Electromagnetic Like Algorithm, Simulating Annealing, Tabu Search and Neural Networks), those that improved the production scheduling vision.
- Production Scheduling Approaches
5 days ago · 2.1. Ant Colony Optimization. The ant colony optimization (ACO) is a meta-heuristic method inspired by the behavior of ant colonies in nature, which are able to find the shortest paths between a food source and the anthill. Ants in nature have very poor vision, typically limited to only a few centimeters.
4 days ago · Ant Colony Optimization (ACO) and Mobile Ad Hoc Networks (MANETs) integration represents a novel approach aimed at addressing the inherent challenges of decentralized communication.
3 days ago · In order to achieve precise control of brushless DC motor position and improve control stability, this paper proposes a fuzzy PD control method based on the improved ant colony optimization (ACO).
