MATLAB Answers

Genetic Algorithm : Lower and Upper Bounds

조회 수: 80(최근 30일)
Johan Johan
Johan Johan 2018년 7월 20일
답변: Husnain Raees 2019년 5월 23일
How to choose the VarMin (Lower Bound of decision Variables) and VarMax (Upper Bound of Variables) of any problem when using the genetic algorithm optimization ? What its effect on improvement ?

채택된 답변

Stephan 2018년 7월 20일
편집: Stephan 2018년 7월 20일
the handling of bounds in the case of the use of ga is very well described here:
Essentially, ga ensures that the initial population complies with the restrictions on bounds. Another point is compliance with the restrictions over the term of the algorithm, if certain conditions are met.
To define them use for example:
lb = [-1 0 0 -inf];
ub = [Inf 1 1 0];
In the example above you have 4 decision variables x1...x4 which solutions are in the defined ranges of lb (1)...ub (1) for x1 and so on.
Determining meaningful bounds depends on the problem and requires insight into the problem. Possible limitations may arise from physical or economic considerations. if you have normalized decision variables, they will be between 0...1. You can not produce -5 cars, the optimal power can not exceed the maximum power that is possible with the used drive...
So the effect on improvement by using bounds is getting feasible solutions to a problem on the one hand. On the other hand it is reducing the search space, which helps the solver finding good solutions faster.
Best regards

추가 답변(1개)

Husnain Raees
Husnain Raees 2019년 5월 23일
matlab code for atrifical bee coloney with uper and lower bounds

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by