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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 ...
Automated, adaptive, and optimized search for CSPs via cuckoo search
(Springer Verlag, 2015)
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, ...
Improving Tabu Search Performance by Means of Automatic Parameter Tuning
(IEEE Canada, 2016)
A binary cuckoo search algorithm for solving the set covering problem
(Springer Verlag, 2015)
WSM tuning in autonomous search via gravitational search algorithms
(Springer Verlag, 2015)
A beam-search approach to the set covering problem
(Springer Verlag, 2016)