NSGA-RF: Elitist non-dominated sorting genetic algorithm region-focused
| Autor: | Nieremberg J. P. de Lyra Ramos, Silvio E. Barbin, Alfredo Gomes Neto, Glauco Fontgalland |
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| Rok vydání: | 2017 |
| Předmět: |
Mathematical optimization
Point of interest 0202 electrical engineering electronic engineering information engineering 020206 networking & telecommunications 02 engineering and technology Pareto efficiency 010501 environmental sciences 01 natural sciences Algorithm 0105 earth and related environmental sciences Mathematics |
| Zdroj: | 2017 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC). |
| DOI: | 10.1109/apwc.2017.8062310 |
| Popis: | This paper presents a proposal for the modification of the Elitist Non-dominated Sorting Genetic Algorithm (NSGA-II) whose operation is based on the concepts of dominance found in the principle of Pareto efficiency. The proposed modification is about the domain to be analyzed by the algorithm, which is then restricted to a region near the point of interest, thus being faster and with a lower computational cost due to the smaller search space. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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