Contributions to the future of metaheuristics in the contours of scientific development

Abstract

Metaheuristic algorithms solve optimisation problems by identifying the best combination among a set of variables to enhance a function. Within metaheuristics, the main purpose of this work is that of showing the development of research issues about processes related to optimisation and metaheuristics, with a focus on the projection of those issues with greater possibility of development. Optimization processes is one of the most studied fields in artificial intelligence, optimization, logistics, and other applications The main contributions of this work were the identification of the main issues contained in the themes of process optimization and metaheuristics; an analysis of the expansion and retraction of the aforementioned theme; an understanding of convergence and divergence; and an analysis of the stages of development as presented in the gaps of the fifty most commonly mentioned articles. The main finding was to analyze the development of research topics on optimization processes and metaheuristics, focusing on projecting the topics most likely to develop.

Digital transformation in school management: the legacy that strategic actions in the 2020s leave for future pandemics

“…The content analysis was conducted on the selected articles to identify gaps and extract the main elements of the literature (constructs) to establish the research propositions (Parizotto et al, 2020;Reis et al, 2021). The search platform chosen was Scopus because of its reliability and comprehensiveness of peer-reviewed (Cardoso et al, 2022;Espuny et al, 2021a;Sampaio et al, 2022;Zhu & Liu, 2020).…”

Quality Management Directing The Way To Defect Reduction And Production Improvement

“…In the manufacturing scenario, there are different ways or methods of identifying and treating quality problems or nonconformities in products, processes and systems. However, it is significant that a portion of these is based on the use Proceedings of the 5 th European International Conference on Industrial Engineering and Operations Management Rome, Italy, July 26-28, 2022 © IEOM Society International of the PDCA cycle, or variants thereof, as a means of controlling and promoting continuous improvement (Yan Chen & Li, 2019;Nsafon et al 2020;Sampaio et al 2022;Silva et al 2021).…”