Nguyen Van Thieu

@Fa20 Could you please put your code into a good format of "coding style". I can help you but with this format I don't know what are you doing with...

@Fa20 , Hope that helps! There are several places that you messed it up. You need to define at least 2 parameters, if there is only 1 parameter you can...

@Fa20 , OMG. My bad. I got so much attention to your code that I also forgot the syntax. lol. You need to put the Problem into the solve function....

@Fa20, again. Look like your code is from previous version. I correct it again. ```python # Solve the optimization problem best_agent = gwo.solve(problem=problem) # Output the result print(f"Best agent: {model.g_best}")...

@Fa20 , model is best_agent. My bad copy paste habit.

@Fa20, You are using older version, please check out the documentation for the latest version 3.0.1 It should be: best_agent = gwo.solve(problem=problem)

@moonlighthalfwindow, I am aware of this bug. There is a guy in community has fixed it and I merged his Pull Request into repo that is why you didn't see...

@hjh-2001, Could you please explain more detail about your idea. Usually, metaheuristics only use uniform or normal distribution to generate random number. Unless, you want to design your own algorithm,...

@hjh-2001, Currently, there is no way to do it. Because chaotic function is not really a standard way to random number in metaheuristics. It is only used in some improved...

Hey @Kroppeb, Thank you for pointing this out. When I first designed this library, I didn't know much about software licenses. I just wanted to publish it so everyone could...