A software model for dynamic constraint optimization scheduling

On the basis of segmenting 3D measured data with feature design intention, the parameter extraction of the features obtained by several common modeling methods such as extruding, revolving, and the fitting of sketch profile are transformed into the resolution of constraint optimization problem.

As a Genetic Algorithm handles the constraint optimization problem,the dif ficulty is how to solve constraints.

The HPSO combines the particle swarm optimization with constraint optimization and direct search.

Design of a cultural algorithm for solving complex constrained optimization problems;

A new evolutionary algorithm for solving constrained optimization problems;

Approximate uniting of two adjacent B-spline curves through knot adjustment and constrained optimization;

This arithmetic took the minimization of summation of frequency discrepancy and modal shape displacement as its optimizing goal,set restrictive conditions to parameter modification and frequency change by engineering experience,and ranged model updating to restriction optimization.

The sensor is designed with the technology of restriction optimization whose precision may be up to 1mm, and the cost is low, at the same time it can do self-regulation according to the different environments in order to gain the best effect.

This paper puts forward a particle swarm optimization for restriction optimization.