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But … the sum of the first-best unilateral responses was also the global optimum.
The global optimum is initialization dependent.
In this case, the global optimum can be found.
Thus, finding a global optimum can be difficult.
As we explain in the Appendix, this reaches global optimum.
Can the algorithm also find the global optimum minimizing SSE?
In other words, the global optimum cannot be obtained.
We find that this always reaches the global optimum.
The algorithm converges to the global optimum almost surely.
We propose ensemble evolution to converge to the global optimum.
The idea behind is to reach an equilibrium state corresponding to a global optimum.
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