multiobjective optimization -凯发k8网页登录

pareto sets via genetic or pattern search algorithms, with or without constraints

when you have several objective functions that you want to optimize simultaneously, these solvers find the optimal tradeoffs between the competing objective functions.

functions

problem-based multiobjective

	create values for optimization problem
	pareto plot of multiobjective values
	solve optimization problem or equation problem

solvers

	find pareto front of multiple fitness functions using genetic algorithm
	find points in pareto set

options

	create optimization options
	reset options

objects

values for optimization problems

live editor tasks

optimize

optimize or solve equations in the live editor

topics

problem-based multiobjective optimization

how to set up and evaluate results of multiobjective optimization problems.
this example shows how to create and plot the solution to a multiobjective optimization problem.
plan nuclear fuel disposal using multiobjective optimization
plan the disposal of spent nuclear fuel while minimizing both cost and risks. this example has both continuous and binary variables.

solver-based multiobjective optimization

shows an example of how to create a pareto front and visualize it.
design optimization of a welded beam
shows tradeoffs between cost and strength of a welded beam.
compare paretosearch and gamultiobj
solve the same problem using paretosearch and gamultiobj to see the characteristics of each solver.
solve a simple multiobjective problem using plot functions and vectorization.
shows the effects of some options on the gamultiobj solution process.
describes cases where hybrid functions are likely to provide greater accuracy or speed.
plot a pareto set in three dimensions.

multiobjective background

describes pareto-optimal sets.
how the gamultiobj algorithm works.
describes the paretosearch algorithm.
describes differences between the options for ga and gamultiobj.
genetic algorithm options
explore the options for the genetic algorithm.
pattern search options
explore the options for pattern search.