Paper Title :An Innovative Search Algorithm Based on Dynamic Distribution
Author :Tzuyi Yu, Sizi Chao
Article Citation :Tzuyi Yu ,Sizi Chao ,
(2017 ) " An Innovative Search Algorithm Based on Dynamic Distribution " ,
International Journal of Management and Applied Science (IJMAS) ,
pp. 89-95,
Volume-3,Issue-10
Abstract : The Artificial Intelligence (AI) has caught people’s attention since the google software AlphaGo has successfully
defeated those best Go players around the world. It is well known that the dynamic programming is the core technics of the
Artificial Intelligence. Among the dynamic programming algorithms, the Evolutionary Algorithms are the most common
implemented approaches. The notable and popular methods are the Genetic Algorithm, Evolutionary Strategy and Genetic
Programming. These algorithms are also referred as simulation optimization. Since most of the real world problems are more
complicated than before, an efficient searching optimization algorithm is more important than before. How to find the best
solution from other thousands combinations in time is the goal of today’s simulation computation and artificial intelligence.
Many other available researches presented the results based on normal distribution, which might take longer computation and
lost the solution accuracy. In this research, we propose a dynamic distribution that can take care the diversity and intensity of
the solution, and can be utilized in many real world simulations. Simulation results are presented to verify the proposed
algorithm.
Keyword: Dynamic Programming, Evolutionary Algorithms
Type : Research paper
Published : Volume-3,Issue-10
DOIONLINE NO - IJMAS-IRAJ-DOIONLINE-9829
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Copyright: © Institute of Research and Journals
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Published on 2018-01-04 |
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