Now showing items 1-5 of 5
Structural Bias in Differential Evolution: a preliminary study
This paper extends the study of structural bias in popular metaheuristic global optimisation methods. Previously, it has been shown that both Genetic Algorithms and Particle Swarm Optimisation suffer from such bias. This ...
Rotation Invariance and Rotated Problems: An Experimental Study on Differential Evolution
This paper presents an experimental study on the efficacy of a rotation-invariant Differential Evolution (based on current-to-rand mutation) on a benchmark of test problems in its non-rotated and rotated version. Numerical ...
Algorithm Design Issues in Adaptive Differential Evolution: Review and taxonomy
The performance of most metaheuristic algorithms depends on parameters whose settings essentially serve as a key function in determining the quality of the solution and the efficiency of the search. A trend that has emerged ...
A comparison of three Differential Evolution strategies in terms of early convergence with different population sizes
Differential Evolution (DE) is a popular population-based continuous optimization algorithm that generates new candidate solutions by perturbing the existing ones, using scaled differences of randomly selected solutions ...
A Study on Rotation Invariance in Differential Evolution
Epistasis is the correlation between the variables of a function and is a challenge often posed by real-world optimisation problems. Synthetic benchmark problems simulate a highly epistatic problem by performing a so-called ...