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[3D GraphicDynamic-fake-gi-02_mixed_04

Description: 用Q3D中的shader技术写的程序源代码,shader技术是一种能够实现实时光效和阴影的技术。-Use of shader technology Q3D written source code, shader technology is a luminous efficiency can achieve real-time and the shadow of technology.
Platform: | Size: 1012736 | Author: yy | Hits:

[VC/MFCso-ftw-are-fa-ult-diag-no-sis

Description: 针对软件纠错性维护问题, 提出了软件故障诊断的概念及一种故障模块匹配算法。软件故障诊断方法是在 VC+ + 代码的静态测试和动态测试相结合的基础上, 运用故障模块匹配算法匹配二者的测试结果, 生成优先诊断模块表, 再 利用路径覆盖的方式生成测试用例, 针对可疑模块进行进一步的测试诊断, 最后确定故障点。-Corrective maintenance for software problem, a software fault diagnosis module concepts and a fail-matching algorithm. Software fault diagnosis method is VC++ code static testing and dynamic testing on the basis of a combination, the use of faulty module matching algorithm matches the two test results, diagnostic module generates priority table, re-use path coverage approach to generate test cases for suspect module for further diagnostic testing to finalize the point of failure.
Platform: | Size: 165888 | Author: renxiaoqian | Hits:

[Other Web CodeAWK-Sample-Script

Description: Our team has developed a Matlab simulation for OFDMA networks. We propose a dynamic FFR mechanism that selects the optimal frequency allocation and inner cell radius based on the cell total throughput and a custom metric which is called user satisfaction (US). In detail, the mechanism divides the cell into two regions (inner and outer). For each potential frequency allocation (FA), the mechanism calculates the per-user throughput, the cell total throughput and US. This procedure is repeated for successive inner cell radius. Afterwards, the mechanism selects the optimal FFR scheme that maximizes the cell total throughput and US.
Platform: | Size: 4096 | Author: akbar | Hits:

[matlabFA2

Description: 一种改进的萤火虫算法解决动态0-1背包问题。经过测试,算法就有良好的性能。-Firefly Algorithm (FA), Genetic Algorithm (GA) and Differential Evolution (DE) have been widely used for static optimization problems, but the applications of those algorithms in dynamic environments are relatively lacking. In the present study, an effective FA introducing diversity with partial random restarts and with an adaptive move procedure is developed and proposed for solving dynamic multidimensional knapsack problems. To the best of our knowledge this paper constitutes the first study on the performance of FA on a dynamic combinatorial problem. In order to uate the performance of the proposed algorithm the same problem is also modeled and solved by GA, DE and original FA. Based on the computational results and convergence capabilities we concluded that improved FA is a very powerful algorithm for solving the multidimensional knapsack problems for both static and dynamic environments.
Platform: | Size: 2839552 | Author: 孙雪 | Hits:

[matlabfa

Description: 萤火虫算法FA的动态描述。可以展现动态迭代的过程-FA' s dynamic description firefly algorithm. You can show dynamic iterative process
Platform: | Size: 7168 | Author: 任娜娜 | Hits:

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