Does MATLAB have a mixed-integer optimization feature that uses metaheuristic algorithms?

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M.Sattar
M.Sattar 2025-2-3
回答： M.Sattar 2025-4-13
I am interested in optimization and know that MATLAB has a built-in metaheuristic algorithm that can be utilized. I have worked with some of these algorithms, such as Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). However, I believe they are typically designed to solve problems with a single type of decision variable.
I am currently working on a problem that involves multiple types of decision variables, including binary, integer, and continuous variables. Can this kind of problem be effectively solved using a heuristic approach?
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M.Sattar
M.Sattar 2025-2-8
Hi @Torsten
For example i have a vector decision variable X =[x1, x2, x3, x4, x5, x6];
x1 and x2 are binary variables that can be either 1 or 0,
x3 and x4 are discrete integer variables that can be 0,1, 2, 3, 4, 5 ...
x5, x6 are continous varaible 0, 0.5 1.2, 4.54 8.5 .. etc
Torsten
Torsten 2025-2-8
编辑：Torsten 2025-2-8
As said, you can handle these variables by setting bounds in MATLAB's "ga":
x1 and x2: Set intcon and lb = 0, ub = 1
x3 and x4: Set intcon and lb = 0
x5 and x6: Set intcon and lb = 1, ub = number of values x5 and x6 can take and identify 0 with 1, 0.5 with 2, 1.2 with 3 etc. in the objective function.
Here is a helpful page with the available software for certain problem classes and benchmark tests of commercial and non-commercial solvers:
https://plato.asu.edu/

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M.Sattar
M.Sattar 2025-4-13
Hi, I found the way to solve this, Just wanted to say a huge thanks for all the help with my mixed-integer optimization questions. Your advice has been super helpful! Big shoutout to @Torsten, @Walter Roberson , @Sam Chak , and @Mike Croucher for your awesome insights.

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