Sentence examples for algorithm frameworks from inspiring English sources

This paper broaches the issue of using 2D tracking algorithm frameworks on mobile devices in order to enable cooperative repair tasks in robot-operated industrial production.

This new edition has been fully revised and features new chapters on swarm intelligence and automated design of metaheuristics from flexible algorithm frameworks.

Next, in order to illustrate the main results in [1], we construct the following over-relaxed proximal point algorithm frameworks with errors based on Lemmas 3.1 and 3.2.

Further, by using the generalized resolvent operator technique associated with ( A, η, m ) -maximal monotone operators, we discussed the approximation solvability of operator equation problems and the convergence of iterative sequences generated by the algorithm frameworks.

In [10, 11], we discussed the convergence of iterative sequences generated by the hybrid proximal point algorithm frameworks associated with ( A, η, m ) -monotonicity when operator A is strongly monotone and Lipschitz continuous.

In [14], we introduced and studied a new general class of hybrid ( A, η, m ) -proximal point algorithm frameworks for finding the common solutions of nonlinear operator equations and fixed point problems of Lipschitz continuous operators in Hilbert spaces.

The novel dynamic particle swarm optimization algorithm framework was given.

To this end, we design two basic algorithms and an advanced algorithm framework.

We incorporate a self-developed discrete-event simulation model into our optimization algorithm framework.

To solve the model effectively, a hybrid genetic algorithm framework integrating a heuristic algorithm into a genetic algorithm is proposed.

Finally, we design an algorithm framework based on the lower bound for solving the set covering in general FVRP.