Looking for operational efficiency in itinerary assignment optimization: a comparison of different optimization approaches

This research article presents the proposed approach to solve a common problem for companies that must plan their operations to meet their demand for activities. For this, three different optimization models are explored: Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Random Guided S...

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Bibliographic Details
Main Authors: Mendoza, Adrian Pabon, Onate Lopez, Jose, Quintero M, Christian G.
Format: Conference Proceeding
Language:English
Subjects:
Analytical models
Companies
Context modeling
Costs
Genetic algorithms
Genetic Algorithms (GA)
Industries
Itinerary Optimization
Meter reading
Optimization
Optimization models
Particle swarm optimization
Particle Swarm Optimization (PSO)
Random Guided Search (RGS)
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Description
Summary:This research article presents the proposed approach to solve a common problem for companies that must plan their operations to meet their demand for activities. For this, three different optimization models are explored: Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Random Guided Search (RGS). This is to improve efficiency and reduce operating costs related to reading itineraries. The three algorithms are configured for the problem and present appropriate results based on the requirements. The objective of this study is also to analyze the state of the art and highlight the potential in the use of the models in real-life challenges in different areas and industries.
ISSN:2771-568X
DOI:10.1109/COLCOM62950.2024.10720293