内部信息网组织规划的优化模型 NP问题 希望对大家有用
上传时间: 2015-12-11
上传用户:sy_jiadeyi
时间表问题是NP完全的,因此很难寻求一个有效的整体优化算法,分组作为重要的油画策略
标签:
上传时间: 2014-01-06
上传用户:youke111
Capturing low-level network data can be hard in Java, but it s certainly not impossible If you want to capture network packets in your Java program, you ll need a little help because no parts of the core Java APIAPI give access to low-level network
标签: impossible Capturing low-level certainly
上传时间: 2016-03-05
上传用户:yuanyuan123
背包问题是组合优化领域内经典的NP完备间题,本文介绍了pso解决0/1背包问题上的一个方法
上传时间: 2013-12-22
上传用户:familiarsmile
应用遗传算法是被认为求解NP难题的有效手段之一,求解物流配送车辆路径优化问题时,在传统遗传算法的基础上,并引入了免疫算法的思想,实验结果表明该算法具有更好的全局和局部搜索能力和收敛速度,可有效地解决物流配送车辆路径优化问题。
上传时间: 2016-04-07
上传用户:gxf2016
Writing this book was hard work, but also a lot of fun. Thanks to everyone who made it possible, especially Jinny Verdonck, Thomas Kraft, Ricky Nkrumah, Kirk Bateman, and the whole Apress crew. A big thanks goes also to the community that continuously extends and improves J2ME Polish!
标签: everyone possible Writing Thanks
上传时间: 2016-04-15
上传用户:Yukiseop
These listed libraries are written in WTL. But it s really hard to mix both MFC & WTL together. Obviously, it s not reasonable to ask a developer or a team to giving up MFC and move to the WTL world just because there were some great controls or visual Frameworks written in WTL (there are many things that should be considered especially in a company with hundreds of developers like the company I work for). Unfortunately, there was no such good and free visual Framework in MFC until now. Whatever difficulties there are, I still desire to be able to use them and now my effort is here to be shared with you. Under the Hood
标签: libraries WTL together written
上传时间: 2013-12-18
上传用户:wcl168881111111
蚁群优化算法是一种基于自然启发的metaheuristic算法,从其提出到现在历经10多年的发展到目前已经成为一种解决组合优化问题的有效工具。最大团问题是一个经典的NP难的组合优化问题,很多实际问题都可以抽象为对无向图上最大团问题的求解,所以,对最大团问题的研究无论在理论上还是实际上都有重要意义。
标签: metaheuristic 组合 优化算法 算法
上传时间: 2014-01-16
上传用户:ardager
利用NP问题中的标准遗传算法解决复杂函数最优最大值问题。程序可根据需要扩展。
上传时间: 2016-05-05
上传用户:1109003457
随机粒子群算法对解答NP问题、复杂问题,具有传统算法难以比拟的优势——复杂性低,求得的解具有比较理想——当然,对待不同的问题,我们还需要进一步进行问题领域的编码!
上传时间: 2016-05-10
上传用户:bibirnovis