Work

Search Trajectory Networks Meet the Web: A Web Application for the Visual Comparison of Optimization Algorithms

Year: 2023

Type: conference-paper

Abstract: This paper presents a new web application implementing and automizing a tool called Search Trajectory Networks. This web application is potentially very useful for researchers from the field of stochastic optimization algorithms such as metaheuristics because it allows the visual comparison of such algorithms. Moreover, it helps in gaining an improved understanding of optimization algorithm behaviour. Our web application facilitates the use of the Search Trajectory Networks tool because the previously manual process is automized and important improvements are added. These improvements include a simplified input format, a generalization to more than three algorithms and an integrated search space partitioning scheme.

Source: International Conference on Software and Computer Applications (ICSCA)

DOI: 10.1145/3587828.3587843

Authors: Camilo Chacon-Sartori, Christian Blum, Gabriela Ochoa

Institutions: Consejo Superior de Investigaciones Científicas, Artificial Intelligence Research Institute, University of Stirling

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: Agencia Estatal de Investigación