An Improved Marriage in Honey Bees Optimization Algorithm for Single Objective Unconstrained Optimization
Marriage in honey bees optimization (MBO) is a metaheuristic optimization algorithm developed by inspiration of the mating and fertilization process of honey bees and is a kind of swarm intelligence optimizations. In this study we propose improved marriage in honey bees optimization (IMBO) by addin...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/370172 |
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| _version_ | 1841524534785605632 |
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| author | Yuksel Celik Erkan Ulker |
| author_facet | Yuksel Celik Erkan Ulker |
| author_sort | Yuksel Celik |
| collection | DOAJ |
| description | Marriage in honey bees optimization (MBO) is a metaheuristic optimization algorithm developed by inspiration of the mating and fertilization process of honey bees and is a kind of swarm intelligence optimizations. In this study we propose improved marriage in honey bees optimization (IMBO) by adding Levy flight algorithm for queen mating flight and neighboring for worker drone improving. The IMBO algorithm’s performance and its success are tested on the well-known six unconstrained test functions and compared with other metaheuristic optimization algorithms. |
| format | Article |
| id | doaj-art-438c4c424b7c431cb3abf012edcf1673 |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-438c4c424b7c431cb3abf012edcf16732025-02-03T05:53:02ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/370172370172An Improved Marriage in Honey Bees Optimization Algorithm for Single Objective Unconstrained OptimizationYuksel Celik0Erkan Ulker1Department of Computer Programming, Karamanoglu Mehmetbey University, Karaman, TurkeyComputer Engineering Department, Selcuk University, Konya, TurkeyMarriage in honey bees optimization (MBO) is a metaheuristic optimization algorithm developed by inspiration of the mating and fertilization process of honey bees and is a kind of swarm intelligence optimizations. In this study we propose improved marriage in honey bees optimization (IMBO) by adding Levy flight algorithm for queen mating flight and neighboring for worker drone improving. The IMBO algorithm’s performance and its success are tested on the well-known six unconstrained test functions and compared with other metaheuristic optimization algorithms.http://dx.doi.org/10.1155/2013/370172 |
| spellingShingle | Yuksel Celik Erkan Ulker An Improved Marriage in Honey Bees Optimization Algorithm for Single Objective Unconstrained Optimization The Scientific World Journal |
| title | An Improved Marriage in Honey Bees Optimization Algorithm for Single Objective Unconstrained Optimization |
| title_full | An Improved Marriage in Honey Bees Optimization Algorithm for Single Objective Unconstrained Optimization |
| title_fullStr | An Improved Marriage in Honey Bees Optimization Algorithm for Single Objective Unconstrained Optimization |
| title_full_unstemmed | An Improved Marriage in Honey Bees Optimization Algorithm for Single Objective Unconstrained Optimization |
| title_short | An Improved Marriage in Honey Bees Optimization Algorithm for Single Objective Unconstrained Optimization |
| title_sort | improved marriage in honey bees optimization algorithm for single objective unconstrained optimization |
| url | http://dx.doi.org/10.1155/2013/370172 |
| work_keys_str_mv | AT yukselcelik animprovedmarriageinhoneybeesoptimizationalgorithmforsingleobjectiveunconstrainedoptimization AT erkanulker animprovedmarriageinhoneybeesoptimizationalgorithmforsingleobjectiveunconstrainedoptimization AT yukselcelik improvedmarriageinhoneybeesoptimizationalgorithmforsingleobjectiveunconstrainedoptimization AT erkanulker improvedmarriageinhoneybeesoptimizationalgorithmforsingleobjectiveunconstrainedoptimization |