| Title: | A novel hybrid self-adaptive bat algorithm |
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| Authors: | ID Fister, Iztok (Author)
ID Fong, Simon (Author)
ID Brest, Janez (Author)
ID Fister, Iztok (Author) |
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| Files: |  The_Scientific_World_Journal_2014_Fister_et_al._A_Novel_Hybrid_Self-Adaptive_Bat_Algorithm.pdf (1,92 MB)
MD5: 6C2CFEA319BEB871C5E0AC62554183F6
 http://www.hindawi.com/journals/tswj/2014/709738/
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
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| Abstract: | Nature-inspired algorithms attract many researchers worldwide for solving the hardest optimization problems. One of the newest members of this extensive family is the bat algorithm. To date,many variants of this algorithm have emerged for solving continuous as well as combinatorial problems. One of the more promising variants, a self-adaptive bat algorithm, has recently been proposed that enables a self-adaptation of its control parameters. In this paper, we have hybridized this algorithmusing differentDE strategies and applied these as a local search heuristics for improving the current best solution directing the swarm of a solution towards the better regions within a search space.The results of exhaustive experiments were promising and have encouraged us to invest more efforts into developing in this direction. |
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| Keywords: | algorithms, optimization |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Year of publishing: | 2014 |
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| Number of pages: | str. 1-12 |
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| Numbering: | Letn. 2014 |
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| PID: | 20.500.12556/DKUM-66220  |
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| ISSN: | 1537-744X |
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| UDC: | 004.4 |
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| ISSN on article: | 1537-744X |
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| COBISS.SI-ID: | 17789206 |
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| DOI: | 10.1155/2014/709738 |
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| NUK URN: | URN:SI:UM:DK:HDMQPFTD |
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| Publication date in DKUM: | 15.06.2017 |
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| Views: | 2554 |
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| Downloads: | 382 |
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| Metadata: |    |
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| Categories: | Misc.
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