multi-objective-optimization using numpy and scipy

1. Non Dominated Sorting Genetic Algorithm - II.
2. Multi Objective Particle Swarm Optimization.
3. Strength Pareto Evolutionary Algorithm - II.
4. Multi Objective Evolutionary Algorithm Based on Decomposition - (MOEA\D)
5. Pareto Envelop based Selection Algorithm - II.

Test case: mop2 formulation.

coello book: Evolutionary Algorithms for Solving Mutli Objective problems https://link.springer.com/book/10.1007/978-0-387-36797-2