Towards faster convergence of evolutionary multi-criterion optimization algorithms using Karush Kuhn Tucker optimality based local search.
Mohamed AbouhawwashHaitham SeadaKalyanmoy DebPublished in: Comput. Oper. Res. (2017)
Keyphrases
- faster convergence
- combinatorial optimization
- optimization problems
- optimal solution
- discrete optimization
- global optimality
- global optimum
- global optimization
- karush kuhn tucker
- optimization methods
- neural network
- search algorithm
- genetic algorithm
- convergence rate
- convergence speed
- step size
- genetic algorithm ga
- search space
- learning algorithm