3 papers
cs.NE2026
Anarchy in the swarm: Testing informed and uninformed diversity-enhancing mechanisms within PSO framework
Piotr Urbańczyk, Aleksandra Urbańczyk
Particle Swarm Optimization (PSO) frequently suffers from premature convergence. This paper introduces a family of problem-informed diversity-enhancing strategies that manipulate t…
cs.NE2025
TOPSIS-like metaheuristic for LABS problem
Aleksandra Urbańczyk, Bogumiła Papiernik, Piotr Magiera +2
This paper presents the application of socio-cognitive mutation operators inspired by the TOPSIS method to the Low Autocorrelation Binary Sequence (LABS) problem. Traditional evolu…
cs.NE2025
Socio-cognitive agent-oriented evolutionary algorithm with trust-based optimization
Aleksandra Urbańczyk, Krzysztof Czech, Piotr Urbańczyk +2
This paper introduces the Trust-Based Optimization (TBO), a novel extension of the island model in evolutionary computation that replaces conventional periodic migrations with a fl…