caa a22 4500 60546961X CHVBK 20210128100323.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s00500-014-1454-y doi (NATIONALLICENCE)springer-10.1007/s00500-014-1454-y A fuzzy logic controller applied to a diversity-based multi-objective evolutionary algorithm for single-objective optimisation [Elektronische Daten] [Eduardo Segredo, Carlos Segura, Coromoto León, Emma Hart] In recent years, Multi-Objective Evolutionary Algorithms (moeas) that consider diversity as an objective have been used to tackle single-objective optimisation problems. The ability to deal with premature convergence has been greatly improved with these schemes. However, they usually increase the number of free parameters that need to be tuned. To improve results and avoid the tedious hand-tuning of algorithms, the use of automated parameter control approaches that are able to adapt parameter values during the course of an evolutionary run are becoming more common in the field of Evolutionary Computation (ec). This research focuses on the application of parameter control approaches to diversity-based moeas. Two external parameter control methods are investigated; a novel method based on Fuzzy Logic and a recently proposed Hyper-heuristic. These are compared to an internal control method that uses self-adaptation. An extensive comparison of the three methods is carried out using a set of single-objective benchmark problems of diverse complexity. Analyses include comparisons to a wide range of schemes with fixed parameters and to a single-objective approach. The results show that the fuzzy logic and hyper-heuristic methods are able to find similar or better solutions than the fixed parameter methods for a significant number of problems, with considerable savings in computational resources and time, whereas the self-adaptive strategy provides little benefit. Finally, we also demonstrate that the controlled diversity-based moea outperforms the single-objective scheme in most cases, thus showing the benefits of solving single-objective problems through diversity-based multi-objective schemes. Springer-Verlag Berlin Heidelberg, 2014 Parameter control nationallicence Fuzzy logic controllers nationallicence Hyper-heuristics nationallicence Self-adaptation nationallicence Diversity preservation nationallicence Benchmark problems nationallicence Segredo Eduardo Dpto. Ingeniería Informática y de Sistemas, Universidad de La Laguna, Avda. Astrofísico Fco. Sánchez. Edif. Matemáticas, 38071, Santa Cruz de Tenerife, Spain aut Segura Carlos Área Computación, Centro de Investigación en Matemáticas, Callejón Jalisco s/n, Mineral de Valenciana, 36240, Guanajuato, Guanajuato, Mexico aut León Coromoto Dpto. Ingeniería Informática y de Sistemas, Universidad de La Laguna, Avda. Astrofísico Fco. Sánchez. Edif. Matemáticas, 38071, Santa Cruz de Tenerife, Spain aut Hart Emma Institute for Informatics and Digital Innovation, Edinburgh Napier University, Edinburgh, Scotland, UK aut Soft Computing Springer Berlin Heidelberg 19/10(2015-10-01), 2927-2945 1432-7643 19:10<2927 2015 19 500 https://doi.org/10.1007/s00500-014-1454-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1454-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Segredo Eduardo Dpto. Ingeniería Informática y de Sistemas, Universidad de La Laguna, Avda. Astrofísico Fco. Sánchez. Edif. Matemáticas, 38071, Santa Cruz de Tenerife, Spain aut NATIONALLICENCE 700 1- Segura Carlos Área Computación, Centro de Investigación en Matemáticas, Callejón Jalisco s/n, Mineral de Valenciana, 36240, Guanajuato, Guanajuato, Mexico aut NATIONALLICENCE 700 1- León Coromoto Dpto. Ingeniería Informática y de Sistemas, Universidad de La Laguna, Avda. Astrofísico Fco. Sánchez. Edif. Matemáticas, 38071, Santa Cruz de Tenerife, Spain aut NATIONALLICENCE 700 1- Hart Emma Institute for Informatics and Digital Innovation, Edinburgh Napier University, Edinburgh, Scotland, UK aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/10(2015-10-01), 2927-2945 1432-7643 19:10<2927 2015 19 500