9 citations · 13 across the 4 of their papers we have counts for
4 papers
The Convergence Indicator: Improved and completely characterized parameter bounds for actual convergence of Particle Swarm Optimization
Bernd Bassimir, Alexander Raß, Rolf Wanka
Particle Swarm Optimization (PSO) is a meta-heuristic for continuous black-box optimization problems. In this paper we focus on the convergence of the particle swarm, i.e., the exp…
Efficient Computation of Probabilistic Dominance in Robust Multi-Objective Optimization
Faramarz Khosravi, Alexander Raß, Jürgen Teich
Real-world problems typically require the simultaneous optimization of several, often conflicting objectives. Many of these multi-objective optimization problems are characterized…
Exact Markov Chain-based Runtime Analysis of a Discrete Particle Swarm Optimization Algorithm on Sorting and OneMax
Moritz Mühlenthaler, Alexander Raß, Manuel Schmitt +1
Meta-heuristics are powerful tools for solving optimization problems whose structural properties are unknown or cannot be exploited algorithmically. We propose such a meta-heuristi…
Explanation of Stagnation at Points that are not Local Optima in Particle Swarm Optimization by Potential Analysis
Alexander Raß, Manuel Schmitt, Rolf Wanka
Particle Swarm Optimization (PSO) is a nature-inspired meta-heuristic for solving continuous optimization problems. In the literature, the potential of the particles of swarm has b…