IEEE Transactions on Evolutionary Computation· 2013Q1
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
- 6,837citations
- Q1SCImago
- 2013year
Short summary
A new evolutionary algorithm, NSGA-III, is proposed for many-objective optimization problems (4+ objectives), outperforming existing methods on test problems with up to 15 objectives.
AI-generated from the title and abstract; the full text is not read.
TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app
The rest is in the Pofolia app
Takeaways, key points and questions to the paper; new summaries every day for your field. Free.
Sign in on the web to openField: Computational Theory and Mathematics
Computational Theory and MathematicsComputer Science