A New Approach to Solve N-Queen Problem with Parallel Genetic Algorithm
Over the past few decades great efforts were made to solve uncertain hybrid optimization problems. The n-Queen problem is one of such problems that many solutions have been proposed for. The traditional methods to solve this problem are exponential in terms of runtime and are not acceptable in terms...
主要な著者: | Monire Taheri Sarvetamin, Amid Khatibi, Mohammad Hadi Zahedi |
---|---|
フォーマット: | 論文 |
言語: | English |
出版事項: |
Science and Research Branch,Islamic Azad University
2018-05-01
|
シリーズ: | Journal of Advances in Computer Engineering and Technology |
主題: | |
オンライン・アクセス: | http://jacet.srbiau.ac.ir/article_12443_0214c8b674cd37a7211fae820ec59dfd.pdf |
類似資料
-
Parallel genetic algorithms on combinatorial optimization problems
著者:: Francisco Hidrobo, 等
出版事項: (2011-01-01) -
A New Efficient Entropy Population-Merging Parallel Model for Evolutionary Algorithms
著者:: Javier Arellano-Verdejo, 等
出版事項: (2017-01-01) -
Classification of Objects and Background Using Parallel Genetic Algorithm Based Clustering
著者:: Priyadarshi Kanungo, 等
出版事項: (2007-07-01) -
On GPU Implementation of the Island Model Genetic Algorithm for Solving the Unequal Area Facility Layout Problem
著者:: Xue Sun, 等
出版事項: (2018-09-01) -
Implementation of genetic algorithms in solving the knapsack problem /
著者:: 367992 Teoh, Beng Khoon
出版事項: (2001)