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Publication
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| Title of Article |
The Cuckoo Search Algorithm with Suitable Probabilistic Mutation Parameter for Global Optimization Problems |
| Date of Acceptance |
19 November 2019 |
| Journal |
| Title of Journal |
KKU Science Journal |
| Standard |
TCI |
| Institute of Journal |
Faculty of Science at Khon Kaen University |
| ISBN/ISSN |
ISSN 2586-9531 |
| Volume |
48 |
| Issue |
1 |
| Month |
มกราคม-มีนาคม |
| Year of Publication |
2019 |
| Page |
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| Abstract |
As the complexity of the optimization problems increases over the last few decades, such as Congress on Evolutionary Computation-2017 (CEC-2017) benchmark functions, the development of new optimization techniques becomes evident more than before. Modern algorithms are required because the conventional algorithms are inadequate to solve the complicated problems. The Nearest neighbor cuckoo search with the probabilistic mutation, which is the improved cuckoo search algorithm using the topology of the nearest neighbor population and probabilistic mutation to fix the step size problem in search space is studied in this work. The proposed algorithm can solve the problem without using any NN topology and it provides better result than the NNCS. The of 0.06 was selected for both low and high dimensional problems. The proposed method has been compared with other previously reported algorithms such as ABC, CS, PSO, FA, GSA, GWO, MVO, MFO, QPSO, LCA, NNCS to investigate the improvement of efficiency over the original CS. |
| Keyword |
Cuckoo search, Lévy flight, Nature-inspired algorithm |
| Author |
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| Reviewing Status |
มีผู้ประเมินอิสระ |
| Status |
ได้รับการตอบรับให้ตีพิมพ์ |
| Level of Publication |
ชาติ |
| citation |
false |
| Part of thesis |
true |
| Attach file |
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| Citation |
0
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Journal Publication
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