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| Content Provider | Springer Nature Link |
|---|---|
| Author | Vrugt, Jasper A. Robinson, Bruce A. Hyman, James M. |
| Copyright Year | 2010 |
| Abstract | This comment addresses the work of Wang and Li (DOI: 10.1007/s12293-009-0012-0, hereafter referred to as WL) published online on September 01, 2009 in a (special) issue of Memetic Computing. We respectfully beg to differ in opinion with WL and argue that the concept of multi-strategy evolutionary search used by WL is not particularly novel. Similar ideas have been presented elsewhere, and these publications date back to at least early 2007. For instance, in a series of papers published in PNAS (2007), SSSAJ (2008), WRR (2008), IEEE-TEVC (2009), JH (2010), Vrugt and coworkers have introduced AMALGAM, a multi-method (or ensemble) search approach to solve emerging single and multiple objective search and optimization problems. In the past few years, MATLAB, C++, Python, and R implementations of AMALGAM have been distributed extensively among researchers and practitioners in various fields of study. |
| Starting Page | 161 |
| Ending Page | 162 |
| Page Count | 2 |
| File Format | |
| ISSN | 18659284 |
| Journal | Memetic Computing |
| Volume Number | 2 |
| Issue Number | 2 |
| e-ISSN | 18659292 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2010-05-04 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Multi-method optimization Ensemble optimizer AMALGAM Applications of Mathematics Bioinformatics Statistical Physics, Dynamical Systems and Complexity Artificial Intelligence (incl. Robotics) ApplicationMathematics/Computational Methods of Engineering Control Robotics Mechatronics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Computer Science |
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