Buch, Englisch, Band 13627, 277 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 441 g
10th International Conference, BIOMA 2022, Maribor, Slovenia, November 17-18, 2022, Proceedings
Buch, Englisch, Band 13627, 277 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 441 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-21093-8
Verlag: Springer International Publishing
The 19 full papers presented in this book were carefully reviewed and selected from 23 submissions.
The papers in this BIOMA proceedings specialized in bioinspired algorithms as a means for solving the optimization problems and came in two categories: theoretical studies and methodology advancements on the one hand, and algorithm adjustments and their applications on the other.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
An agent-based model to investigate different behaviours in a crowd simulation.- Accelerating Evolutionary Neural Architecture Search for Remaining Useful Life Prediction.- ACOCaRS: Ant Colony Optimization Algorithm for Traveling Car Renter Problem.- A new type of anomaly detection problem in dynamic graphs: An ant colony optimization approach.- CSS- A Cheap-Surrogate-based Selection Operator for Multi-objective Optimization.- Empirical Similarity Measure for Metaheuristics.- Evaluation of Parallel Hierarchical Differential Evolution for Min-Max Optimization Problems Using SciPy.- Explaining Differential Evolution Performance Through Problem Landscape Characteristics.- Genetic improvement of TCP congestion avoidance.- Hybrid Acquisition Processes in Surrogate-based Optimization. Application to Covid-19 Contact Reduction.- Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System.- Modified Football Game Algorithm for Multimodal Optimization of Test TaskScheduling Problems Using Normalized Factor Random Key Encoding Scheme.- Performance Analysis of Selected Evolutionary Algorithms.- Refining Mutation Variants in Cartesian Genetic Programming.- Slime mould algorithm: An experimental study of nature-inspired optimizer.- SMOTE inspired extension for differential evolution.- The Influence of Local Search over Genetic Algorithms with Balanced Representations.- Trade-off of networks on weighted space analyzed via a method mimicking human walking track superposition.- Towards interpretable policies in multi-agent reinforcement learning tasksb.
