QAOA with ideal noise returns wrong result about qiskit-aqua HOT 5 CLOSED

This is related to : #1434

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In the above notebook just changing from SLSQP() to COBYLA(), I got the correct results.

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Thank you for the hint @manoelmarques !
I have 3 tests for the same scenario in 3 projects. The test I created in qiskit-aqua worked with COBYLA.
Using

        quantum_instance = QuantumInstance(QasmSimulator(method='automatic', noise_model=NoiseModel()),
                                           seed_simulator=aqua_globals.random_seed,
                                           seed_transpiler=aqua_globals.random_seed,
                                           shots=1024)

I get a solution sample containing multiple values and value 0.

Using
BasicAer.get_backend('qasm_simulator')

In the Jupyter Notebook the solution is not found in the samples at all. It returns a huge amount of samples, but not the right one even if I choose COBYLA.

The same issue into the third project:

Any idea why?

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@manoelmarques when I set the initial point, as you said in email, I didn't get the random result anymore and the result is correct so far.
Thank you!

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Closing as solved according to above discussion.

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