add momlo code, currently works, but still need to be fixed for some functions for future use.
WHEN RUN it, pay attention to the follows:

configuration_script: trials_type = "MOPSO_Trial"
suggest max_speed = no less than 0.1
        max_stdv = no less than 0.5, it is reasonable because no there is no global optimum so the speed would be unstable and because the multi-models, the stdv should be higher than before. otherwise it will retrain the model frequently, it is time-consuming and extremely when there are several models to train.

fitness_script: add objectives = 2 or 3(currently only 2 and 3)
                particle population should be at least 50 to reach better Pareto Front

                fitness budget at-least 100*objectives
		perturb every 10 generations

windows.py: plot_view switched to MOMLOImageViewer in
currently no terminate condition to use, so only when exceed the fitness budget or generation budget