A comparative study of particle swarm optimization and cuckoo search techniques through problem-specific distance function
For the last two decades, nature inspired metaheuristic algorithms have shown their ubiquitous nature in almost every aspect, where computational intelligence is used. This paper intends to focus on the comparative study of two popular and robust bio mimic strategies used in computer engineering, na...
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my.utm.508472017-08-20T03:59:57Z http://eprints.utm.my/id/eprint/50847/ A comparative study of particle swarm optimization and cuckoo search techniques through problem-specific distance function Adnan, M. A. Mohammad Abdur, Razzaque QA75 Electronic computers. Computer science For the last two decades, nature inspired metaheuristic algorithms have shown their ubiquitous nature in almost every aspect, where computational intelligence is used. This paper intends to focus on the comparative study of two popular and robust bio mimic strategies used in computer engineering, namely Particle Swarm Optimization (PSO) and Cuckoo Search (CS). According to the results, CS outperforms PSO. The performance comparison of both algorithms is implemented in the form of problem specific distance functions rather than an algorithmic distance function. Also an attempt is taken to examine the claim that CS has the same effectiveness of finding the true global optimal solution as the PSO but with significantly better computational efficiency, which means less function evaluations. 2013 Conference or Workshop Item PeerReviewed Adnan, M. A. and Mohammad Abdur, Razzaque (2013) A comparative study of particle swarm optimization and cuckoo search techniques through problem-specific distance function. In: 2013 International Conference Of Information And Communication Technology, ICoICT 2013. http://dx.doi.org/10.1109/ICoICT.2013.6574619 |
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QA75 Electronic computers. Computer science Adnan, M. A. Mohammad Abdur, Razzaque A comparative study of particle swarm optimization and cuckoo search techniques through problem-specific distance function |
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For the last two decades, nature inspired metaheuristic algorithms have shown their ubiquitous nature in almost every aspect, where computational intelligence is used. This paper intends to focus on the comparative study of two popular and robust bio mimic strategies used in computer engineering, namely Particle Swarm Optimization (PSO) and Cuckoo Search (CS). According to the results, CS outperforms PSO. The performance comparison of both algorithms is implemented in the form of problem specific distance functions rather than an algorithmic distance function. Also an attempt is taken to examine the claim that CS has the same effectiveness of finding the true global optimal solution as the PSO but with significantly better computational efficiency, which means less function evaluations. |
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Conference or Workshop Item |
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Adnan, M. A. Mohammad Abdur, Razzaque |
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Adnan, M. A. Mohammad Abdur, Razzaque |
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Adnan, M. A. |
title |
A comparative study of particle swarm optimization and cuckoo search techniques through problem-specific distance function |
title_short |
A comparative study of particle swarm optimization and cuckoo search techniques through problem-specific distance function |
title_full |
A comparative study of particle swarm optimization and cuckoo search techniques through problem-specific distance function |
title_fullStr |
A comparative study of particle swarm optimization and cuckoo search techniques through problem-specific distance function |
title_full_unstemmed |
A comparative study of particle swarm optimization and cuckoo search techniques through problem-specific distance function |
title_sort |
comparative study of particle swarm optimization and cuckoo search techniques through problem-specific distance function |
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2013 |
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http://eprints.utm.my/id/eprint/50847/ http://dx.doi.org/10.1109/ICoICT.2013.6574619 |
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