Sep 6, 2022 · I made an Ant Colony Optimization-based TSP solver in Python. I share the code, insights and benchmarks versus other algorithms.

Ant colony optimization (ACO) has been successfully applied to solve combinatorial optimization problems, but it still has some drawbacks such as stagnation ...

Feb 14, 2022 · The suggested algorithm optimizes the last-mile distribution route by reducing the driver's journey distance to increase efficiency.

Oct 22, 2024 · This paper seeks to explore the effectiveness of ant colony optimization for solving the job rotation scheduling problem. The problem of ...

Mar 4, 2022 · Computational study based on a range of the Traveling Salesman Problem instances shows that the FACO outperforms the state-of-the-art ACOs when solving large ...

We present a novel ACO algorithm named the FACO, which contains a mechanism for controlling the differences between the newly constructed solutions and a ...

The improved ACO algorithm can effectively improve the accuracy and the quality of solutions, and distinctly speed up the convergence speed and computing time.

Numerous meta-heuristics and heuristics have been proposed and used to solve the TSP. Although Ant Colony Optimization (ACO) is a natural TSP solving algorithm, ...

Oct 26, 2023 · The simulation based on 45 traveling salesman problem instances shows that AACO-LST improves the solution quality by 79% compared to the ant colony system (ACS ...

Ant colony optimization (ACO) has been proved to be one of the best performing algorithms for NP-hard problems as traveling salesman problems (TSP). However, it ...