IEEE Transactions on Evolutionary Computation· 2016Q1
A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization
- 1,715citations
- Q1SCImago
- 2016year
Short summary
A new evolutionary algorithm (EA) uses reference vectors to guide many-objective optimization, balancing convergence and diversity while incorporating user preferences to target specific Pareto front subsets.
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