IEEE Transactions on Evolutionary Computation· 2013Q1
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach
- 2,096citations
- Q1SCImago
- 2013year
Short summary
A novel extension of the NSGA-III algorithm effectively handles constrained many-objective optimization problems, outperforming MOEA/D, and an adaptive version improves Pareto-optimal front representation.
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Computational Theory and MathematicsComputer Science