E-LIB Suche - Ergebnisse für: Shukla, Pradyumn Kumar

1

Line-prioritized environmental selection and normalization ..:

Sharma, Deepak ; Shukla, Pradyumn Kumar
Swarm and Evolutionary Computation. 51 (2019) - p. 100592 , 2019

Link: https://doi.org/10.1016/..

2

Obtaining Optimal Pareto Front Approximations using Scalari..:

, In: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation,

Braun, Marlon Alexander ; Shukla, Pradyumn Kumar ; Schmeck, Hartmut - p. 631-638 , 2015

Link: https://dl.acm.org/doi/1..

3

On the interrelationships between knees and aggregate objec..:

, In: Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation,

Shukla, Pradyumn Kumar ; Braun, Marlon A. ; Schmeck, Hartmut - p. 95-96 , 2014

Link: https://dl.acm.org/doi/1..

4

A theoretical analysis of volume based Pareto front approxi..:

, In: Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation,

Shukla, Pradyumn Kumar ; Doll, Nadja ; Schmeck, Hartmut - p. 1415-1422 , 2014

Link: https://dl.acm.org/doi/1..

5

On homogenization of coal in longitudinal blending beds:

, In: Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation,

Shukla, Pradyumn Kumar ; Cipold, Michael P. ; Bachmann, Claus. - p. 1199-1206 , 2014

Link: https://dl.acm.org/doi/1..

6

A re-visit to the development of fatigue and rutting equati..:

Shukla, Pradyumn Kumar ; Das, Animesh
International Journal of Pavement Engineering. 9 (2008) 5 - p. 355-364 , 2008

Link: https://doi.org/10.1080/..

7

Exploiting second order information in computational multi-..:

, In: Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence,

Shukla, Pradyumn Kumar - p. 271-282 , 2007

Link: https://dl.acm.org/doi/1..

8

On finding multiple Pareto-optimal solutions using classica..:

Shukla, Pradyumn Kumar ; Deb, Kalyanmoy
European Journal of Operational Research. 181 (2007) 3 - p. 1630-1652 , 2007

Link: https://doi.org/10.1016/..

9

Exploiting Second Order Information in Computational Multi-..:

, In: Progress in Artificial Intelligence; Lecture Notes in Computer Science,

Shukla, Pradyumn Kumar - p. 271-282 ,

Link: https://doi.org/10.1007/..

10

Inefficient emergent oscillations in intersecting driven ma..:

Jiang, Rui ; Helbing, Dirk ; Kumar Shukla, Pradyumn.
Physica A: Statistical Mechanics and its Applications. 368 (2006) 2 - p. 567-574 , 2006

Link: https://doi.org/10.1016/..

11

Effiziente Algorithmen, SS 2014, gehalten am 24.06.2014:

Shukla, Pradyumn Kumar
info:eu-repo/semantics/altIdentifier/doi/10.5445/DIVA/2014-529. , 2015

Link: https://publikationen.bi..

12

Vorlesung "Effiziente Algorithmen", SS 2013, gehalten am 02..:

Shukla, Pradyumn Kumar
info:eu-repo/semantics/altIdentifier/doi/10.5445/DIVA/2013-529. , 2015

Link: https://publikationen.bi..

13

Effiziente Algorithmen, SS 2014, gehalten am 29.04.2014:

Shukla, Pradyumn Kumar
info:eu-repo/semantics/altIdentifier/doi/10.5445/DIVA/2014-310. , 2015

Link: https://publikationen.bi..

14

Heterogeneous functions (WG3):

Eichfelder, Gabriele ; Gandibleux, Xavier ; Geiger, Martin Josef...
Understanding Complexity in Multiobjective Optimization -- 10.4230/DagRep.5.1.96. , 2015

Link: https://doi.org/10.22032..

15

Vorlesung "Nature-Inspired Optimization Methods" der Fakult..:

Mostaghim, Sanaz ; Shukla, Pradyumn Kumar
info:eu-repo/semantics/altIdentifier/doi/10.5445/DIVA/2009-316. , 2015

Link: https://publikationen.bi..