Sentence examples for small scale problems and from inspiring English sources

The computation results show that the proposed method is able to get optimal solutions for small scale problems and near optimal solutions within limited computation time for large scale problems.

A variety of numerical results and geometric illustrations for two-dimensional chemical process models are used to make clear key theoretical concepts, to demonstrate the reliability and efficiency of global terrain methods on small scale problems and to show their potential promise on large scale process models problems.

For the energy-aware resource reservation problem, we present a mixed-integer linear programming (MILP) formulation (for small-scale problems) and a heuristic approach (for large-scale problems).

Exact techniques for CVRP are applied only to small-scale problems and the qualities of constructive heuristics are often not satisfactory (Huang et al. 2008).

We first conducted simulations for small scale problems, with 3 4 sensor nodes and 7 10 tasks with maximum 2 predecessors.

To validate the proposed algorithm, some small scale problems are solved by exact solutions and the answers are compared with the answers of the proposed genetic algorithm.

The first direction is to identify and optimize multiple target interventions by modelling signaling pathways or specific processes and is usually applied to small scale problems [ 10, 11].

The first test group is made up of 10 problems (P1-P10), of which four small scale problems P1-P4 are taken from [25], which is the problem 7.3.28, 7.3.32, 7.3.31 and 7.3.29, respectively; and the other six middle-large-scale problems P5-P10 are from [31].

This type of algorithm is successful for small scale problems, but it has some critical limitations for real applications.

It was shown that the proposed method was as accurate as the literature methods for small scale problems, but performed better for large scale problem applications.

Putting systems in place can successfully deal with small scale problems, thus avoiding looming future problems.