Sentence examples for numerical optimization problems from inspiring English sources

The second experiment aims to evaluate and compare the performance of SA-MFO with MFO and five well-known optimization algorithms: particle swarm optimization (PSO) [15], ant bee colony (ABC) [14], moth flame optimization (MFO) [24], multi verse optimization (MVO) [23], and ant lion optimizer (ALO) [22] in solving 23 numerical optimization problems using different statistical measurements.

There are many evolutionary algorithms for numerical optimization problems.

It has been successfully applied to a large number of numerical optimization problems including telecommunications problems [31].

Eight widely used benchmark numerical optimization problems are chosen from the literature as the test suit.

ACS is a swarm intelligence algorithm developed for solving numerical optimization problems.

A modified Artificial Bee Colony algorithm to solve constrained numerical optimization problems is presented in this paper.

The estimation of the optimal transformation is modelled either as a combinatorial or a numerical optimization problem.

In this computational study, a binary numerical optimization problem is formulated to achieve best mixing performance by identifying the optimal heterogeneous charge pattern.

In PSO, every particle is considered as a possible solution to the numerical optimization problem in a D-dimensional space.

Traditionally, the problem is a numerical optimization problem in which the test search or maintenance frequency is considered as the variable.

In this work, the design of kinematic and dynamic parameters of links of a mobile manipulator is stated as a numerical optimization problem (NOP).