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It is worth emphasizing that the 2C-WSN mechanism could be easily integrated for solving the conflicts arising during the setup phase of other TDMA protocols.
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To this end, the present study proposes a model-based optimization framework to integrate essential components for solving road traffic control problems in general.
Finally, a rounding technique is integrated into the aeDE for solving optimization problems with discrete design variables.
This article proposes a hybrid cuckoo search algorithm (CSA) integrated with fuzzy system for solving multi-objective unit commitment problem (MOUCP).
Equation (13) is an ordinary differential equation (ODE) and can be integrated using standard methods for solving ODEs (e.g., Euler or Runge Kutta methods).
These are converged systems with a tight coupling of software and hardware and are integrated for a very good reason – because solving the complexities of assembling this type of solution together is really, really hard.
However, the extension of algorithms described in Section 2.1.2 for integrating two ontologies is not feasible for solving the multiple ontology integration.
Fuzzy simulation, neural network, and genetic algorithm are also integrated to produce a hybrid intelligent algorithm for solving those models.
These solutions are also the basis for solving the problem of integrating a large number of ontologies as described in Section 2.2.
For natural selection to have created adaptations for solving problems related to newcomers, integrating new members must have been a recurrent feature of ancestral human social environments.
The proposed algorithm is integrated with the Hoffmann heuristic to develop a system for solving TALB problems.
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