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根据汽车内饰等行业需求,对皮制品加工的优化排样问题进行了研究.创新地采用离散化处理方式,同时引进边界约束,使排样过程与皮料和样片的几何信息无关,使用基于顺序的启发式底左布局将样片顺次布置到皮料上-According to the demand for such industries as automotive interior trim, leather processing for optimal layout problem is studied. Innovative approach o
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The paper is about bounds for LDPC and LDGM codes under MAP. A new method for analyzing low density parity check (LDPC) codes and low density generator
matrix (LDGM) codes under bit maximum a posteriori probability (MAP) decoding is
introduced. T
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关于DFT的文章，应用FPGA实现傅立叶变换。-Abstract—We present a domain-specific approach to generate
high-performance hardware-software partitioned implementations
of the discrete Fourier transform (DFT). The partitioning
strategy is a heuristic based on the DFT
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IEEE文章，启发式搜索策略用于
确定最佳的电容布局和
供配电系统的评等。在启发式
方法提出了一个关键的少数
名为“敏感节点，节点，选择
安装电容器优化净储蓄
同时实现了大的整体亏损减少。
这种方法保证了电压约束
会见。这种启发式的方法是适合大
配电系统，并可以在网上有用
实施。该方法是
用于测试系统和结果
与其他已发表的技术。
-Heuristic search strategies are used to
determine the o
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In data mining, k-means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. This results in a partitioning of the data space into Vo
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he increasing demand of networks, over the past decade has
led to the need for enormous cost reduction and increasing
accessibility of networks. It requires for efficient traffic management in the network and ability to expand as per the need.
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reconfiguration networks
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reconfiguration network
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In this paper I will discuss a genetic approach to fi nding near-optimal soltu- ions to Traveling Salesman Problems. I will also discuss how using a heuristic to generate an initial pool aff ects the run time and solutions found by my progr
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A topology control approach for utilizing multiple channels in multi-radio wireless mesh networks We consider the channel assignment problem in a multi-radio wireless mesh network that
involves assigning channels to radio interfaces for achieving e
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Differential Evolution (DE) algorithm is a new heuristic approach mainly having three advantages
finding the true global minimum regardless of the initial parameter values, fast convergence, and using
few control parameters
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