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38篇 您的检索式:作者名="Maroosi"
    题名 作者 年代 出处 被引量
1Enhancing the Simulation of Membrane System on the GPU for the N-Queens Problem显示文摘Previous approaches using active membrane systems to solve the N-queens problem defined many membranes with just one rule inside them. This resulted in many communication rules utilised to communicate between membranes, which made communications between the cores and the threads a very time-consuming process.The proposed approach reduces unnecessary membranes and communication rules by defining two membranes with many objects and rules inside each membrane. With this structure, objects and rules can evolve concurrently in parallel, which makes the model suitable for implementation on a Graphics processing unit(GPU). The speedup using a GPU with global memory for N=10 is 10.6 times, but using tiling and shared memory, it is 33 times.Ravie Chandren Muniyandi Ali Maroosi 2015Chinese Journal of Electronics2015,24,4:2
2Application of ShuffledFrog-leaping Algorithm on Clustering显示文摘Babak A Mohammad F Maroosi A 2009The International Journalof Advanced Manufacturing Technology2009,45,12:1
3Application of shuffled frog-leaping algorithm on clustering显示文摘Amiri B Fathian M Maroosi A 2009Int J of Advanced Manufacturing Technology2009,45,12:1
4Application of shuffled frog-leaping algorithm on clustering显示文摘AMIRI B FATHIAN M MAROOSI A 2009International Journal of Advanced Manufacturing Technology2009,45,12:1
5Application of shuffled frog-leaping algorithm on clustering 显示文摘Amiri B Fathian M Maroosi A 2009The International Journal of Advanced Manufacturing Technology2009,45,12:1
6Application of shuffled frog-lea- ping algorithm on clustering显示文摘Amiri B Fathian M Maroosi A 2009International Journal of Advanced Manufacturing Technology2009,45,12:1
7Application of shuffled frog leaping algorithm on clustering 显示文摘AMIRI B FATHIAN M MAROOSI A 2009The International Journal of Advanced Manufacturing Technology2009,45,12:1
8Application of shuffled frog-leaping algorithm on clustering显示文摘Babak Amiri Mohammad Fathian Ali Maroosi 2009The International Journal of Advanced Manufacturing Technology2009,,1:1
9Application of Honey-bee Mating Optimization Algorithm on Clustering显示文摘FATHIAN M AMIRI B MAROOSI A 2007Applied Mathematics and Computation2007,190,2:1
10Application of shuffled frog-leaping algorithm on clustering显示文摘Amiri B Fathian M Maroosi A 2009International Journal of Advanced Manufac- turing Technology2009,45,12:1
11Digital frequency determination of real waveforms based on multiple sensors with low sampling rates显示文摘Maroosi A and Bizaki H K 2012IEEE Sensors Journal2012,12,5:1
12Applica- tion of shuffled frog - leaping algorithm on clustering显示文摘Babak Amiri Mohammad Fathian Mi Maroosi 2009Adv Manuf Techno12009,,45:1
13Application of shuffled frog-leaping algorithmon clustering显示文摘Amiri B Fathian M Maroosi A 2009Int J of Advanced Manufacturing Technology2009,45,12:1
14Application of shuffled frog-leaping algorithm on clustering 显示文摘Amid B Fathian M Maroosi A 2009The Internation- al Journal of Advanced Manufacturing Technology2009,45,12:1
15Application of Shuffled Frog-leaping Algorithm on Clustering显示文摘Amiri B Fathian M Maroosi A 2009The International Journal ofAdvanced Manufacturing Technology2009,45,12:1
16Application of honey bee mating optimization algorithm on clustering显示文摘Fathian M Amiri B Maroosi A 2007Applied Mathematics and Computation2007,,10:1
17Application of shuffled frog-lea-ping algorithm on clustering显示文摘MOHAMMAD B A MAROOSI F A 2009The International Journal of Advanced Manufacturing Technology2009,45,12:1
18Application of shuffled frog- leaping algorithm on clustering 显示文摘AMIRI B FATHIAN M MAROOSI A 2009The International Journal of Advanced Manufacturing Technology2009,45,12:1
19Application of shuffled frog-leaping algorithm on clustering显示文摘Amiri B Fathian M Maroosi A 2009International Journal of Advanced Manufacturing Technology2009,45,12:1
20Application of shuffled frog-leaping algorithm on clustering显示文摘Amiri B Fathian M Maroosi A 2009The Int J of Advanced Manufacturing Technology2009,45,12:1
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