RT Conference Proceedings
T1 About Designing an Observer Pattern-Based Architecture for a Multi-objective Metaheuristic Optimization Framework
A1 Benítez-Hidalgo, Antonio
A1 Nebro-Urbaneja, Antonio Jesús
A1 Durillo, Juan J.
A1 García-Nieto, José Manuel
A1 López-Camacho, Esteban
A1 Barba-González, Cristóbal
A1 Aldana-Montes, José Francisco
K1 Informática
AB Multi-objective optimization with metaheuristics is an active and popular research field which is supported by the availability ofsoftware frameworks providing algorithms, benchmark problems, quality indicators and other related components. Most of these tools follow a monolithic architecture that frequently leads to a lack of flexibility when a user intends to add new features to the included algorithms. In this paper, we explore a different approach by designing a component-based architecture for a multi-objective optimization framework based on the observer pattern. In this architecture, most of the algorithmic componentsare observable entities that naturally allows to register a number of observers. This way, a metaheuristic is composed of a set of observable and observer elements, which can be easily extended without requiring to modify the algorithm. We have developed a prototype of this architecture and implemented the NSGA-II evolutionary algorithm on top of it as a case study. Our analysis confirms the improvement of flexibility using this architecture, pointing out the requirements it imposes and how performance is affected when adopting it.
YR 2018
FD 2018-11-05
LK https://hdl.handle.net/10630/16778
UL https://hdl.handle.net/10630/16778
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026