Similar(60)
Secondly, four heuristics are proposed to investigate the performance for moderate and large scale instances.
For solving large scale instances we implemented an Ant Colony Optimization procedure.
The efficiency is evaluated using the widely known 40 Laurence's instances which encompass medium and large scale instances.
A decomposition based algorithm was developed and combined with enhancement strategies to solve optimally large scale instances.
We propose a parallel hybrid algorithm which aims to produce good solutions for large scale instances of the problem.
A very efficient and effective generalized Benders decomposition algorithm is then deployed, enabling the solution of large scale instances in reasonable time.
Hence, in addition to present an Integer Linear Programming (ILP) model, we present the two mentioned algorithms to handle the problem in large scale instances.
For solving large scale instances, the performance of the proposed ACO based meta-heuristic is improved by integrating it with a variable neighbourhood search.
Next, we carry out experiments on large scale instances, collecting information about solution quality and computational time, and comparing these results with those offered by a global optimizer.
We then develop heuristic algorithms to solve large scale instances occurring in rail freight systems in France plus Italy Germanyy; and a 10-country European network.
The configuration selection is supported by a heuristic search algorithm that ensures correctness and completeness while addressing time efficiency and scalability for large scale instances of the problem.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com