Particle Convergence Time in the PSO Model with Inertia Weight. - Krzysztof Trojanowski; Tomasz Kulpa (IJCCI (ECTA), 2015)

Particle Convergence Time in the Deterministic Model of PSO. - Krzysztof Trojanowski; Tomasz Kulpa (IJCCI (Selected Papers), 2015)

Particle Convergence Expected Time in The PSO Model with Inertia Weight. - Krzysztof Trojanowski; Tomasz Kulpa (IJCCI (ECTA), 2016)

Particle Stability in PSO under Stagnation Assumption. - Krzysztof Trojanowski; Tomasz Kulpa (IJCCI, 2017)

Particle Stability Time in the Stochastic Model of PSO. - Krzysztof Trojanowski; Tomasz Kulpa (IJCCI (Selected Papers), 2017)

Variance of particle location in the stochastic model of PSO with inertia weight. - Krzysztof Wójcik; Tomasz Kulpa; Krzysztof Trojanowski (CEC, 2020)

Particle Classification Based on Movement Behavior in IPSO Stochastic Model. - Krzysztof Wójcik; Tomasz Kulpa; Krzysztof Trojanowski (ICAISC (1), 2020)

Upper Bounds for Particle Location Variance Convergence Measures in the Stochastic Model of Particle Swarm. - Krzysztof Wójcik; Tomasz Kulpa; Krzysztof Trojanowski (CEC, 2021)

Stasis type particle stability in a stochastic model of particle swarm optimization. - Tomasz Kulpa; Krzysztof Trojanowski; Krzysztof Wójcik (GECCO, 2021)

Towards Self-optimizing Sensor Networks: Game-Theoretic Second-Order CA-Based Approach. - Franciszek Seredynski; Tomasz Kulpa; Rolf Hoffmann; Dominique Désérable (ACRI, 2022)

Towards evolutionary self-optimization of large multi-agent systems. - Franciszek Seredynski; Tomasz Kulpa; Rolf Hoffmann (GECCO Companion, 2022)

Competition and Cooperation Mechanisms for Collective Behavior in Large Multi-agent Systems. - Franciszek Seredynski; Tomasz Kulpa; Rolf Hoffmann (ICCS (1), 2022)

Coverage and Lifetime Optimization by Self-Optimizing Sensor Networks. - Franciszek Seredynski; Tomasz Kulpa; Rolf Hoffmann; Dominique Désérable (Sensors, 2023)

Evolutionary self-optimization of large CA-based multi-agent systems. - Franciszek Seredynski; Tomasz Kulpa; Rolf Hoffmann (J. Comput. Sci., 2023)