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Jun 30, 2016 · Therefore, it is recommended to use metaheuristic methods to solve such problems including ant colony optimization algorithms. Solution of the ...
Nov 21, 2024 · In this paper, a metaheuristic algorithm based on the ant colony optimization is presented to solve the multi-depot vehicle routing problem with delivery and ...
A new improved ant colony optimization (ACO) algorithm is designed to solve the model and an initial solution is generated with pheromones of vehicles and a ...
Ant colony optimization algorithm is an effective approach to solve capacitated vehicle routing problem,. Introducing clockwise partition clustering an ...
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This paper proposes an ant colony optimization (ACO) to solve the full-truckload selective multi-depot vehicle routing problem under time windows ...
Oct 22, 2024 · Ant colony optimization (ACO) is a metaheuristic for combinatorial optimization problems. In this paper we report on its successful application to the vehicle ...
Jul 28, 2019 · This paper describes a variant of the Periodic Capacitated Arc Routing Problem for inspections in a railroad network.
To solve the large-scale vehicle routing problem of instant delivery in peak periods, a knowledge-driven ant colony optimization (KDACO) algorithm is proposed ...
There are two main approaches to solving VRPs: exact algorithms and heuristic algorithms. The exact algorithms are suitable for solving small-scale problems ...
Ant Colony Optimization (ACO) is a population-basedmetaheuristic that can be used to find approximate solutions to difficult optimization problems.