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MarketScreener Homepage  >  Equities  >  Euronext Paris  >  Soft Computing    SFT   FR0000075517

SOFT COMPUTING

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Reports Outline Soft Computing Study Results from City University of Hong Kong (Selecting Evolutionary Algorithms for Black Box Design Optimization Problems): Soft Computing

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08/06/2019 | 04:46pm EDT

2019 AUG 06 (NewsRx) -- By a News Reporter-Staff News Editor at Daily Hong Kong Report -- Current study results on Soft Computing have been published. According to news reporting out of Hong Kong, People’s Republic of China, by NewsRx editors, research stated, “An algorithm selection method for black box design optimization problems is reported. It uses a simple and natural principle to select an algorithm set from a set of algorithm candidates.”

Financial support for this research came from Research Grants Council of the Hong Kong Special Administrative Region, China.

Our news journalists obtained a quote from the research from the City University of Hong Kong, “A set of benchmark problems is given, and the performance of each algorithm in the set is recorded in a knowledge base. Given an unknown problem, the default algorithm is run. An algorithm-problem feature is proposed and used to map to the most similar benchmark problem. Then the best algorithm for solving the problem is used in the second run. This process iterates until n runs have been made. The best result out of n runs is returned as the solution. Experimental results reveal that the algorithm-problem feature is a good problem identifier. Results are also reported when (1) both the training and testing set are the set of benchmark problems; and (2) the training set is the set of benchmark problems but the testing set is a set of real-world benchmark problems. The method works well on both scenarios. It attains almost the same performance as the best algorithm, and has better performance compared with random selection. As the best algorithm cannot be known a priori, the results confirm that the algorithm selection mechanism is effective.”

According to the news editors, the research concluded: “The performance of the algorithm as a function of n and the case when n is equal to two is also studied.”

For more information on this research see: Selecting Evolutionary Algorithms for Black Box Design Optimization Problems. Soft Computing, 2019;23(15):6511-6531. Soft Computing can be contacted at: Springer, 233 Spring St, New York, NY 10013, USA.

Our news journalists report that additional information may be obtained by contacting S.Y. Yuen, City University of Hong Kong, Dept. of Electronics Engineering, Hong Kong, People’s Republic of China. Additional authors for this research include Y. Lou and X. Zhang.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1007/s00500-018-3302-y. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

(Our reports deliver fact-based news of research and discoveries from around the world.)

Copyright © 2019 NewsRx LLC, Daily Hong Kong Report, source Geographic Newsletters

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