Comment on paper 'Multi-strategy ensemble evolutionary algorithm for dynamic multi-objective optimization' by Wang and Li
Autor: | Jasper A. Vrugt, James Mac Hyman, Bruce A. Robinson |
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Rok vydání: | 2010 |
Předmět: |
Control and Optimization
Optimization problem General Computer Science Bioinformatics Computer science Artificial Intelligence (incl. Robotics) Memetic computing Evolutionary algorithm Multi-method optimization Control Robotics Mechatronics Statistical Physics Dynamical Systems and Complexity Multi-objective optimization Engineering Applications of Mathematics Multiple objective MATLAB computer.programming_language business.industry Appl.Mathematics/Computational Methods of Engineering Python (programming language) AMALGAM Ensemble optimizer Artificial intelligence business computer Computer Science(all) |
Zdroj: | Vrugt, Jasper A.; Robinson, Bruce A.; & Hyman, James M.(2010). Comment on paper “Multi-strategy ensemble evolutionary algorithm for dynamic multi-objective optimization” by Wang and Li. Memetic Computing, 2(2), pp 161-162. doi: 10.1007/s12293-010-0041-8. Retrieved from: http://www.escholarship.org/uc/item/52c0b2mk |
ISSN: | 1865-9292 1865-9284 |
DOI: | 10.1007/s12293-010-0041-8 |
Popis: | 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. |
Databáze: | OpenAIRE |
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