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?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? 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? optimization, mathematics, pso, ga MATLAB Answers — New Questions

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