An Island Model based on Stigmergy to solve optimization problems
| Autor: | Grasiele Regina Duarte, Afonso C. C. Lemonge, Beatriz Souza Leite Pires de Lima, Leonardo Goliatt da Fonseca |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Structure (mathematical logic)
education.field_of_study Theoretical computer science Optimization problem Computer science Population Complex system Evolutionary algorithm 0102 computer and information sciences 02 engineering and technology 01 natural sciences Stigmergy Computer Science Applications 010201 computation theory & mathematics Theory of computation 0202 electrical engineering electronic engineering information engineering Benchmark (computing) 020201 artificial intelligence & image processing education |
| Zdroj: | Natural Computing. 20:413-441 |
| ISSN: | 1572-9796 1567-7818 |
| DOI: | 10.1007/s11047-020-09819-x |
| Popis: | Island Model (IM) is an alternative often used to parallel Evolutionary Algorithms (EA). In IM, the population is distributed between islands that evolve their solutions in parallel, connected by a topology. Periodically, solutions migrate between islands according to a migration policy. The IM can be seen as an ideal structure to combine different algorithms to be used in an organized and cooperative way to solve a problem. Motivated by the number and distinction of EAs proposed in the last decades, in terms of performance and evolutionary behavior, this work proposes a hybrid configuration for IM, called Stigmergy Island Model (Stgm-IM), inspired by the natural phenomenon of stigmergy. Stigmergy is present in groups of some social species, and, by it, their agents organize themselves and maintain a level of cooperation through indirect communication. The Stgm-IM was evaluated regarding its evolutionary behavior and its performance on a benchmark suite of fifteen optimization problems, showing expected results. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink