담금질 기법

도함수를 갖지 않고 제약 조건이 없는 최적화 또는 범위를 갖는 최적화를 위한 담금질 기법 솔버

다른 솔버들이 만족스럽지 않으면 담금질 기법을 사용하십시오.

함수

simulannealbnd 담금질 기법 알고리즘을 사용하여 함수의 최솟값 구하기

`optimoptions`	최적화 옵션 만들기
`resetoptions`	재설정 옵션

최적화	라이브 편집기에서 방정식을 최적화하거나 풉니다. (R2020b 이후)

Minimize Function with Many Local Minima
Presents an example of solving an optimization problem using simulated annealing.
Minimization Using Simulated Annealing Algorithm
This example shows how to create and minimize an objective function using the simulannealbnd solver. It also shows how to include extra parameters for the minimization.
Simulated Annealing Options
Shows the effects of some options on the simulated annealing solution process.
Multiprocessor Scheduling Using Simulated Annealing with a Custom Data Type
Uses a custom data type to code a scheduling problem. Uses a custom plot function to monitor the optimization process.
Reproduce Your Results
Explains how to obtain identical results by setting the random seed.
When to Use a Hybrid Function
Describes cases where hybrid functions are likely to provide greater accuracy or speed.

담금질 기법이란?
담금질 기법을 소개합니다.
Simulated Annealing Terminology
Explains some basic terminology for simulated annealing.
How Simulated Annealing Works
Presents an overview of how the simulated annealing algorithm works.
Simulated Annealing Options
Explore the options for simulated annealing.