多目标优化

以串行或并行方式求解多目标优化问题

使用目标达到方法求解多目标问题。这种方法的特点是，您为每个目标选择一个要达到的目标值，求解器会尝试找出同时满足所有目标值的点，找不到时，会尝试找出对各目标不满足程度相对均衡的点。此问题的一个重要特例是最小化目标最大值，它有一个特殊的求解器 fminimax。

函数

`fgoalattain`	求解涉及多目标的目标达到问题
`fminimax`	求解 minimax 约束问题

优化	在实时编辑器中优化或求解方程

生成并绘制帕累托前沿
说明如何在双目标问题中绘制帕累托前沿的示例。
比较 fminimax 和 fminunc
展示与适用于平滑问题的求解器相比，专用的 fminimax 函数如何能更好地求解 minimax 问题。
Multi-Objective Goal Attainment Optimization
This example shows how to solve a pole-placement problem using multiobjective goal attainment.
Using fminimax with a Simulink Model
Example showing how to minimize the maximum discrepancy in a simulation.
Signal Processing Using fgoalattain
Example showing filter design using multiobjective goal attainment.
Minimax Optimization
This example shows how to solve a nonlinear filter design problem.

What Is Parallel Computing in Optimization Toolbox?
Use multiple processors for optimization.
Using Parallel Computing in Optimization Toolbox
Perform gradient estimation in parallel.
Improving Performance with Parallel Computing
Investigate factors for speeding optimizations.

Multiobjective Optimization Algorithms
Minimizing multiple objective functions in n dimensions.
Smooth Formulations of Nonsmooth Functions
Reformulate some nonsmooth functions as smooth functions by using auxiliary variables.
优化选项参考
了解优化选项。