49 citations · 63 across the 5 of their papers we have counts for
4 papers · 1 filter
Computational and Exploratory Landscape Analysis of the GKLS Generator
Jakub Kudela, Martin Juricek
The GKLS generator is one of the most used testbeds for benchmarking global optimization algorithms. In this paper, we conduct both a computational analysis and the Exploratory Lan…
The Evolutionary Computation Methods No One Should Use
Jakub Kudela
The center-bias (or zero-bias) operator has recently been identified as one of the problems plaguing the benchmarking of evolutionary computation methods. This operator lets the me…
Are metaheuristics worth it? A computational comparison between nature-inspired and deterministic techniques on black-box optimization problems
Jakub Kudela
In the field of derivative-free optimization, both of its main branches, the deterministic and nature-inspired techniques, experienced in recent years substantial advancement. In t…
Combining Lipschitz and RBF Surrogate Models for High-dimensional Computationally Expensive Problems
Jakub Kudela, Radomil Matousek
Standard evolutionary optimization algorithms assume that the evaluation of the objective and constraint functions is straightforward and computationally cheap. However, in many re…