In this paper, a general variant of DMP, also known as Resource-Constrained Deliveryman Problem (RCDMP) is introduced. The RCDMP problem deals with finding a ...
Due to NP-hard problem, metaheuristic approach needs to be developed to provide near-optimal solutions for large instance sizes at a reasonable amount of time.
problem with small sizes. The second type consists of heuristics. 66. Page 5. Using Metaheuristic for Solving the Resource-Constrained Deliveryman Problem.
Using Metaheuristic for Solving the Resource-Constrained Deliveryman Problem. https://doi.org/10.1145/3368926.3369660. Journal: Proceedings of the Tenth ...
Nov 3, 2020 · In the algorithm, ACO explores the promising solution areas while RVND exploits them with the hope of improving a solution. Extensive numerical ...
In this paper, a general variant of DMP, also known as Resource-Constrained Deliveryman Problem (RCDMP) is introduced. The RCDMP problem deals with finding a ...
To solve medium and large size instances, two-phase metaheuristic algorithm is proposed and the developed algorithm has improved the best solutions for 34 ...
To solve medium and large size instances, two-phase metaheuristic algorithm is proposed. The first stage constructs a feasible solution using Neighborhood ...
A population-based algorithm is proposed that combines an Ant Colony Algorithm (ACO), and Random Variable Neighborhood Descent (RVND) that explores the ...
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Jun 17, 2024 · In a real production problem, if you decide to use a heuristic algorithm (such as GA), what are the mainstream methods to deal with constraints in constraint ...