Home |  ENGLISH |  Kontakt |  Impressum |  Anmelden |  KIT

Globale Optimierung

Aus Aifbportal

Wechseln zu: Navigation, Suche

Globale Optimierung


Beteiligte Personen
PD Dr. rer. nat. Pradyumn Kumar Shukla



Veröffentlichungen zum Forschungsgebiet

Article
Dietmar Ratz, Tamas Vinko
A Multidimensional Branch-and-Prune Method for Interval Global Optimization
Numerical Algorithms, (37), Seiten 391-399, Dezember, 2004
(Details)

↑ top

inproceedings
Pradyumn Kumar Shukla, Marlon Braun, Hartmut Schmeck
On the Interrelationships Between Knees and Aggregate Objective Functions
Proceedings of the 2014 Conference Companion on Genetic and Evolutionary Computation Companion, Seiten: 95-96, ACM, GECCO Comp '14, New York, NY, USA
(Details)

Pradyumn Kumar Shukla, Michael Emmerich, Andre Deutz
A Theoretical Analysis of Curvature Based Preference Models
in EMO 2013, Springer, LNCS
(Details)

Michael Emmerich, Andre deutz, Johannes Kruisselbrink, Pradyumn Kumar Shukla
Cone-based Hypervolume Indicators: Construction, Properties, and Efficient Computation
in EMO 2013, Springer, LNCS
(Details)

Pradyumn Kumar Shukla, Marlon Braun
Indicator Based Search in Variable Orderings: Theory and Algorithms
In Purshouse, Robin C. and Fleming, Peter J. and Fonseca, Carlos M. and Greco, Salvatore and Shaw, Jane, Evolutionary Multi-Criterion Optimization, Seiten: 66-80, Springer Berlin Heidelberg, Lecture Notes in Computer Science, 7811
(Details)

Pradyumn Kumar Shukla, Marlon Braun, Hartmut Schmeck
Theory and Algorithms for Finding Knees
In Purshouse, Robin C. and Fleming, Peter J. and Fonseca, Carlos M. and Greco, Salvatore and Shaw, Jane, Evolutionary Multi-Criterion Optimization, Seiten: 156-170, Springer Berlin Heidelberg, Lecture Notes in Computer Science, 7811
(Details)

Pradyumn Kumar Shukla, Christian Hirsch, Hartmut Schmeck
Towards a Deeper Understanding of Trade-offs Using Multi-objective Evolutionary Algorithms
EVoStar 2012, Bio-inspired algorithms for continuous parameter optimisation, Seiten: 396--405, Springer, LNCS
(Details)

Marlon Braun, Pradyumn Kumar Shukla, Hartmut Schmeck
Preference Ranking Schemes in Multi-objective Evolutionary Algorithms
In Takahashi, Ricardo H.C. and Deb, Kalyanmoy and Wanner, Elizabeth F. and Greco, Salvatore, Evolutionary Multi-Criterion Optimization, Seiten: 226-240, Springer Berlin Heidelberg, Lecture Notes in Computer Science, 6576
(Details)

Christian Hirsch, Pradyumn Kumar Shukla, Hartmut Schmeck
Variable Preference Modeling using Multi-objective Evolutionary Algorithms
In R. H. C. Takahashi, K. Deb, E. F. Wanner, S. Greco, Evolutionary Multi-Criterion Optimization, Seiten: 91-105, Springer, LNCS, 6576, Berlin / Heidelberg
(Details)

↑ top