4 papers
The K-SCAN Clustering Algorithm
Filip Kosiorowski, Grzegorz Sroka
In the Big Data era, the scalability of clustering algorithms constitutes a key challenge. Traditional density-based methods (e.g., DBSCAN) offer robustness to noise and the abilit…
Sensitivity of hMPA to Controlled CEC 2017 Transformations
Grzegorz Sroka, SÅawomir T. WierzchoÅ
The standard CEC 2017 benchmark applies bias, shift, and rotation simultaneously, confounding their individual effects on algorithmic behavior. We introduce a parameterized impleme…
Empirical Evaluation of No Free Lunch Violations in Permutation-Based Optimization
Grzegorz Sroka
The No Free Lunch (NFL) theorem guarantees equal average performance only under uniform sampling of a function space closed under permutation (c.u.p.). We ask when this averaging c…
Robustness and Invariance of Hybrid Metaheuristics under Objective Function Transformations
Grzegorz Sroka, SÅawomir T. WierzchoÅ
This paper evaluates the robustness and structural invariance of hybrid population-based metaheuristics under various objective space transformations. A lightweight plug-and-play h…