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NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

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According to the manual and the 'DefaultSingleObjectiveTermination', “DefaultTermination”, “get_ termination”, it does not seem to be supported.

- Fix typo in None check: the condition `if not None` doesn't actually check the value of `seq`. Instead, it's just a static check against `None`, which doesn't achieve what...

Hi, I have a question regarding the ability to check some self-defined statistics between generations during the optimization run. Specifically, I would like to know if there is a way...

I want to initialize the population for NSGA-II with my own data. Is it possible to do so using the library? Thanks.

```python if __name__ == "__main__": initial_solution = actions_to_np(get_solution(f"merged/{SEED}.json")) algorithm = PatternSearch(x0=initial_solution) np.random.seed(2281) demand = get_demand() problem = MyProblem(demand) termination = get_termination("time", 1) res: None | Any = minimize(problem, algorithm, termination,...

I have executed an optimization run, and backed up the result object using **dill** as proposed in the Tutorial. Let say it executed 2 iterations. As checkpoint I use the...

Hello! Any idea to support robust optimization with uncertainty?

Thanks for putting together a nice optimization package in python! I have been using it in my research for a little while now. This issues concerns an observation I made...

This PR is for the discussion in #686 and not necessarily meant to be merged unless it is decided to be useful on the issues page. It modifies simulated binary...

In the context of dynamic multi-objective optimization problems, the Pareto front (PF) may undergo changes