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A bayesian based methodology for indirect object search
(Springer, 2018)
The main goal of this paper is to propose a Bayesian based methodology for implementing robot informed search for objects. The methodology uses convolutions between observation likelihoods of secondary objects and spatial ...
Search intensity versus search diversity: a false trade off?
(Springer, 2010-06)
An implicit tenet of modern search heuristics is that there is a mutually exclusive balance between two desirable goals: search diversity (or distribution), i.e., search through a maximum number of distinct areas, and, ...
Hybrid strategies of enumeration in constraint solving
(Academic Journals, 2011)
Improving Tabu Search Performance by Means of Automatic Parameter Tuning
(IEEE Canada, 2016)
Searching in the Context of a Task: A Review of Methods and Tools
(Latin-american Center for Informatics Studies, 2018-04-04)
Contextual information extracted from the user task can help to better target retrieval to task-relevant content. In particular, topical context can be exploited to identify the sub- ject of the information needs, contributing ...
A beam-search approach to the set covering problem
(Springer Verlag, 2016)
WSM tuning in autonomous search via gravitational search algorithms
(Springer Verlag, 2015)
A common Tabu search algorithm for the global optimization of engineering problems
(Elsevier B.V., 2001-01-01)
A novel common Tabu algorithm for global optimizations of engineering problems is presented. The robustness and efficiency of the presented method are evaluated by using standard mathematical functions and hy solving a ...
A common Tabu search algorithm for the global optimization of engineering problems
(Elsevier B.V., 2001-01-01)
A novel common Tabu algorithm for global optimizations of engineering problems is presented. The robustness and efficiency of the presented method are evaluated by using standard mathematical functions and hy solving a ...