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The scenario approach with regularization has also been considered, [5] and handy algorithms with reduced computational complexity are available. [6] Extensions to more complex, non-convex, set-ups are still objects of active investigation. Along the scenario approach, it is also possible to pursue a risk-return trade-off.
Specific applications of search algorithms include: Problems in combinatorial optimization, such as: . The vehicle routing problem, a form of shortest path problem; The knapsack problem: Given a set of items, each with a weight and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as ...
The min-conflicts algorithm is a local search algorithm specific for CSPs and is based on that principle. In practice, local search appears to work well when these changes are also affected by random choices. An integration of search with local search has been developed, leading to hybrid algorithms.
Search-based software engineering is applicable to almost all phases of the software development process. Software testing has been one of the major applications. [9] Search techniques have been applied to other software engineering activities, for instance, requirements analysis, [10] [11] design, [12] [13] refactoring, [14] development, [15 ...
Ranking of query is one of the fundamental problems in information retrieval (IR), [1] the scientific/engineering discipline behind search engines. [2] Given a query q and a collection D of documents that match the query, the problem is to rank, that is, sort, the documents in D according to some criterion so that the "best" results appear early in the result list displayed to the user.
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Maximum inner-product search (MIPS) is a search problem, with a corresponding class of search algorithms which attempt to maximise the inner product between a query and the data items to be retrieved. MIPS algorithms are used in a wide variety of big data applications, including recommendation algorithms and machine learning. [1]
From the start, Cincinnati-based Kroger and Boise, Idaho-based Albertsons said the merger was necessary to stay efficient and competitive in a grocery industry increasingly dominated by ...