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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shih-Pang Tseng Wuu-Wen Lin |
| Copyright Year | 2012 |
| Abstract | Harmony search (HS) is a promising metaheuristic algorithm inspired by music improvisation process for various hard optimization problems. HS has attracted attention of researchers from different areas because it is easy to implement and can be applied to different optimization problems. in this paper, we present a novel method to improve the result of HS called Zipf harmony search (ZHS)â"by using the Zipf distribution to reference the harmonies within the harmony memory. We want to balance the intensification and diversification. Experimental results show that ZHS can provide better results than simple HS in the higher number of dimensions in numerical function optimization problem. |
| Starting Page | 115 |
| Ending Page | 118 |
| File Size | 324894 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467321389 |
| DOI | 10.1109/ICGEC.2012.106 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-25 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer science Harmony Search Metaheuristics Benchmark testing Aerospace electronics Search problems Educational institutions Web sites Optimization Zipf distribution |
| Content Type | Text |
| Resource Type | Article |
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