Traditional methods of applying dedicated algorithms and heuristics result in hard to maintain, unwieldy systems with performance degradation over time.
应用传统的算法和启发式方法很难维护，因为随着时间的推移，系统的性能下降使系统变得难以控制。
It replaced the original indexing algorithms and heuristics in 2004, given its proven efficiency in processing very large, unstructured datasets.
它取代了2004开始试探的最初索引算法，它已经证明在处理大量和非结构化数据集时更有效。
The study includes the generation, construction methods and basic types of heuristics search algorithms.
详细研究了启发式搜索算法的产生、构造方法、基本类型等几个方面。
Any mathematical algorithms must be supplemented by heuristics.
任何数学算法必须由直觉来补充。
Any mathematical algorithms must be supplemented by heuristics.
任何数学演算法必须由直觉来补充。
Use sweep algorithm to build initial solutions, and then, improve the solutions by 3 local search algorithms, such as 2-opt, 1-exchange, cross heuristics.
通过扫描算法构建初始解，应用2优化、1交换、交叉算法3个邻域搜索算法优化初始解。
Traditional methods include Dynamic Programming, Greedy Algorithms, Local Search Heuristics and Branch and Bound algorithms.
传统的求解方法包括动态规划法、贪婪算法、局部搜索法和分支定界法等。
The effectiveness and efficiency of these two algorithms are tested by comparing the results of solving Patterson's 110 problems with some priority based heuristics.
计算结果显示了两种蚁群算法在求解多目标资源受限项目调度问题时的优势和对该类问题的适应性，同时也暴露了它们的一些缺陷。
The effectiveness and efficiency of these two algorithms are tested by comparing the results of solving Patterson's 110 problems with some priority based heuristics.
计算结果显示了两种蚁群算法在求解多目标资源受限项目调度问题时的优势和对该类问题的适应性，同时也暴露了它们的一些缺陷。
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