Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization
- 29 October 2013
- journal article
- Published by Springer Nature in Journal of Global Optimization
- Vol. 60 (3), 575-594
- https://doi.org/10.1007/s10898-013-0118-2
Abstract
No abstract availableKeywords
This publication has 31 references indexed in Scilit:
- Multiobjective evolutionary algorithms: A survey of the state of the artSwarm and Evolutionary Computation, 2011
- An Efficient Algorithm for Computing Hypervolume ContributionsEvolutionary Computation, 2010
- S-Metric Calculation by Considering Dominated Hypervolume as Klee's Measure ProblemEvolutionary Computation, 2009
- Faster Hypervolume-Based Search Using Monte Carlo SamplingPublished by Springer Nature ,2009
- SMS-EMOA: Multiobjective selection based on dominated hypervolumeEuropean Journal of Operational Research, 2007
- Maximin Latin Hypercube Designs in Two DimensionsOperations Research, 2007
- Review of Metamodeling Techniques in Support of Engineering Design OptimizationJournal of Mechanical Design, 2006
- Statistical Improvement Criteria for Use in Multiobjective Design OptimizationAIAA Journal, 2006
- Performance assessment of multiobjective optimizers: an analysis and reviewIEEE Transactions on Evolutionary Computation, 2003
- A fast and elitist multiobjective genetic algorithm: NSGA-IIIEEE Transactions on Evolutionary Computation, 2002