Multi-Objective Self-Organizing Migrating Algorithm: Sensitivity on Controlling Parameters
In this paper, we investigate the sensitivity of a novel Multi-Objective Self-Organizing Migrating Algorithm (MOSOMA) on setting its control parameters. Usually, efficiency and accuracy of searching for a solution depends on the settings of a used stochastic algorithm, because multi-objective optimi...
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| Format: | Article |
| Language: | English |
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Spolecnost pro radioelektronicke inzenyrstvi
2013-04-01
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| Series: | Radioengineering |
| Subjects: | |
| Online Access: | http://www.radioeng.cz/fulltexts/2013/13_01_0296_0308.pdf |
| _version_ | 1819054008316198912 |
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| author | P. Kadlec Z. Raida J. Drinovsky |
| author_facet | P. Kadlec Z. Raida J. Drinovsky |
| author_sort | P. Kadlec |
| collection | DOAJ |
| description | In this paper, we investigate the sensitivity of a novel Multi-Objective Self-Organizing Migrating Algorithm (MOSOMA) on setting its control parameters. Usually, efficiency and accuracy of searching for a solution depends on the settings of a used stochastic algorithm, because multi-objective optimization problems are highly non-linear. In the paper, the sensitivity analysis is performed exploiting a large number of benchmark problems having different properties (the number of optimized parameters, the shape of a Pareto front, etc.). The quality of solutions revealed by MOSOMA is evaluated in terms of a generational distance, a spread and a hyper-volume error. Recommendations for proper settings of the algorithm are derived: These recommendations should help a user to set the algorithm for any multi-objective task without prior knowledge about the solved problem. |
| first_indexed | 2024-12-21T12:44:47Z |
| format | Article |
| id | doaj.art-603dd07c53a040b8a3a8f5243209655e |
| institution | Directory Open Access Journal |
| issn | 1210-2512 |
| language | English |
| last_indexed | 2024-12-21T12:44:47Z |
| publishDate | 2013-04-01 |
| publisher | Spolecnost pro radioelektronicke inzenyrstvi |
| record_format | Article |
| series | Radioengineering |
| spelling | doaj.art-603dd07c53a040b8a3a8f5243209655e2022-12-21T19:03:40ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25122013-04-01221296308Multi-Objective Self-Organizing Migrating Algorithm: Sensitivity on Controlling ParametersP. KadlecZ. RaidaJ. DrinovskyIn this paper, we investigate the sensitivity of a novel Multi-Objective Self-Organizing Migrating Algorithm (MOSOMA) on setting its control parameters. Usually, efficiency and accuracy of searching for a solution depends on the settings of a used stochastic algorithm, because multi-objective optimization problems are highly non-linear. In the paper, the sensitivity analysis is performed exploiting a large number of benchmark problems having different properties (the number of optimized parameters, the shape of a Pareto front, etc.). The quality of solutions revealed by MOSOMA is evaluated in terms of a generational distance, a spread and a hyper-volume error. Recommendations for proper settings of the algorithm are derived: These recommendations should help a user to set the algorithm for any multi-objective task without prior knowledge about the solved problem.www.radioeng.cz/fulltexts/2013/13_01_0296_0308.pdfMOSOMAsensitivitycontrol parametersmulti-objective optimization |
| spellingShingle | P. Kadlec Z. Raida J. Drinovsky Multi-Objective Self-Organizing Migrating Algorithm: Sensitivity on Controlling Parameters Radioengineering MOSOMA sensitivity control parameters multi-objective optimization |
| title | Multi-Objective Self-Organizing Migrating Algorithm: Sensitivity on Controlling Parameters |
| title_full | Multi-Objective Self-Organizing Migrating Algorithm: Sensitivity on Controlling Parameters |
| title_fullStr | Multi-Objective Self-Organizing Migrating Algorithm: Sensitivity on Controlling Parameters |
| title_full_unstemmed | Multi-Objective Self-Organizing Migrating Algorithm: Sensitivity on Controlling Parameters |
| title_short | Multi-Objective Self-Organizing Migrating Algorithm: Sensitivity on Controlling Parameters |
| title_sort | multi objective self organizing migrating algorithm sensitivity on controlling parameters |
| topic | MOSOMA sensitivity control parameters multi-objective optimization |
| url | http://www.radioeng.cz/fulltexts/2013/13_01_0296_0308.pdf |
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