Schalk Kok

According to our database, Schalk Kok authored at least 17 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Novel and Fully Automated Domain Transformation Scheme for Near Optimal Surrogate Construction.

Johann Bouwer, Daniel N. Wilke, Schalk Kok

CoRR, 2023

2021

Application of Anti-Diagonal Averaging in Response Reconstruction.

Bradley Dean Collins, P. Stephan Heyns, Schalk Kok, Daniel N. Wilke

Symmetry, 2021

2019

On the rotational variance of the differential evolution algorithm.

Marthinus N. Ras, Daniel N. Wilke, Albert A. Groenwold, Schalk Kok

Adv. Eng. Softw., 2019

2017

MOTA: A Many-Objective Tuning Algorithm Specialized for Tuning under Multiple Objective Function Evaluation Budgets.

Antoine S. D. Dymond, Schalk Kok, P. Stephan Heyns

Evol. Comput., 2017

2016

Blaze-DEMGPU: Modular high performance DEM framework for the GPU architecture.

Nicolin Govender, Daniel N. Wilke, Schalk Kok

SoftwareX, 2016

2015

Tuning Optimization Algorithms Under Multiple Objective Function Evaluation Budgets.

Antoine S. D. Dymond, Andries P. Engelbrecht, Schalk Kok, P. Stephan Heyns

IEEE Trans. Evol. Comput., 2015

Collision detection of convex polyhedra on the NVIDIA GPU architecture for the discrete element method.

Nicolin Govender, Daniel N. Wilke, Schalk Kok

Appl. Math. Comput., 2015

2014

Development of a convex polyhedral discrete element simulation framework for NVIDIA Kepler based GPUs.

Nicolin Govender, Daniel N. Wilke, Schalk Kok, Rosanne Els

J. Comput. Appl. Math., 2014

On rotationally invariant continuous-parameter genetic algorithms.

Marthinus N. Ras, Daniel N. Wilke, Albert A. Groenwold, Schalk Kok

Adv. Eng. Softw., 2014

2013

The sensitivity of multi-objective optimization algorithm performance to objective function evaluation budgets.

Antoine S. D. Dymond, Schalk Kok, P. Stephan Heyns

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2010

Metaheuristics for the multi-objective FJSP with sequence-dependent set-up times, auxiliary resources and machine down time.

Jacomine Grobler, Andries P. Engelbrecht, Schalk Kok, Sarma Yadavalli

Ann. Oper. Res., 2010

2009

A reassessment of the Snyman-Fatti dynamic search trajectory method for unconstrained global optimization.

Jan A. Snyman, Schalk Kok

J. Glob. Optim., 2009

Locating and Characterizing the Stationary Points of the Extended Rosenbrock Function.

Schalk Kok, Carl Sandrock

Evol. Comput., 2009

2007

Reference frame and scale invariant real-parameter genetic and differential evolution algorithms.

Daniel N. Wilke, Schalk Kok, Albert A. Groenwold

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

A strongly interacting dynamic particle swarm optimizational method.

Jan A. Snyman, Schalk Kok

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

A starting-time-based approach to production scheduling with Particle Swarm Optimization.

Jacomine Grobler, Andries P. Engelbrecht, Johan W. Joubert, Schalk Kok

Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007

2005

Recent Developments of the Particle Swarm Optimization Algorithm.

Schalk Kok, Daniel N. Wilke, Albert A. Groenwold

Proceedings of the IASTED International Conference on Computational Intelligence, 2005