Sentence examples for finding optimal solutions from inspiring English sources

There are three categories for task scheduling strategies in cloud computing environments: focusing on performance by improving of cloud task schedulers (Category 1), considering multi-objective (e.g., QoS, energy consumption, financial cost, and SLA) for finding optimal solutions (Category 2), and using nature-inspired optimization algorithms to solve cloud task scheduling problems (Category 3).

Since the mathematical program is difficult to solve with a conventional method, an optimization method in two stages, namely searching the solution space and finding optimal solutions are proposed.

Consensus-based methods showed in different tests a slightly better performance [ 61], probably due to the possibility of performing an exhaustive search and thus of finding optimal solutions, or suboptimal candidate solutions to be further refined with profile-based optimization methods.

Numerical examples show that the proposed method is efficient and effective in finding optimal solutions.

In both cases, the proposed MIDO formulation was capable of finding optimal solutions.

This model includes risk constraints which allow finding optimal solutions within accepted risk levels.

The method of finding optimal solution to an optimization problem is a recent challenge for the researchers.

Premature convergence is a classical problem in finding optimal solution in genetic algorithms.

Moreover, it outperforms the genetic algorithm in finding optimal solution and also overcomes the divergence problem caused by the Lagrangian method occurring at low demands.

Also, the numerical results confirm the efficiency and effectiveness of the NMPSO in finding optimal solution on the constrained and unconstrained objective functions.

While pbest is the best values of each particle and it is utilized for finding optimal solution, gbest is the best solution of the group.