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11#
發(fā)表于 2025-3-23 12:08:46 | 只看該作者
12#
發(fā)表于 2025-3-23 14:02:31 | 只看該作者
13#
發(fā)表于 2025-3-23 22:03:34 | 只看該作者
https://doi.org/10.1007/978-3-322-91041-7valent to the problem of finding an optimal path from the root to a terminal node in a search tree (see section 2.4), and one technique for achieving this aim is that of discrete dynamic programming as shown in chapter 2. In this chapter an alternative technique, called branch-and-bound, is introduced and described.
14#
發(fā)表于 2025-3-24 00:21:43 | 只看該作者
15#
發(fā)表于 2025-3-24 02:42:01 | 只看該作者
16#
發(fā)表于 2025-3-24 09:53:17 | 只看該作者
17#
發(fā)表于 2025-3-24 11:21:02 | 只看該作者
https://doi.org/10.1007/978-3-322-91041-7s actually made, and the branches from x represent the possible x‘choices of action at .. The problem of finding an optimal composite decision is equivalent to the problem of finding an optimal path from the root to a terminal node in a search tree (see section 2.4), and one technique for achieving
18#
發(fā)表于 2025-3-24 18:20:57 | 只看該作者
https://doi.org/10.1007/978-981-99-5402-5-problems of other optimisation problems. Shortest route problems have obvious relevance when a shortest (or quickest or least cost) route is required between two points of a transportation system. Similar problems arise when it is required to find a maximal flow or least cost flow augmenting chain
19#
發(fā)表于 2025-3-24 20:47:55 | 只看該作者
Hannele Niemi,Auli Toom,Arto Kallioniemit is the construction of a house, the launching of a new product or putting a satellite into space. Any such planning system should (Lock, 1971).For simple projects bar charts may be appropriate, but for more complex ones the critical path method (CPM) is to be preferred. Network aspects of this and
20#
發(fā)表于 2025-3-25 01:51:30 | 只看該作者
Hannele Niemi,Auli Toom,Arto Kallioniemi. visits n —1 other towns ., .,..., ., each once only, finally returning to .. If the distance . from town . to . is given for each pair (.) find a route for the salesman which minimises the total distance travelled. Much of the interest in the problem arises from the challenge presented by the fact
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