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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