Modeling, Simulation, and Optimization

Modeling, Simulation, and Optimization is a research topic within Discrete Mathematics and Combinatorics. Science Explorer counts 6.2k research works in it since 1950. 10.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application of fuzzy fractal dimensions and modeling techniques in granular data, particularly in the context of fuzzy clustering, probabilistic topic models, information granularity, ontology-based simulations, agent-based modeling, and simulation optimization hybrids. The papers explore the use of evolutionary algorithms and control frameworks to address complex problems in various domains.

• Fuzzy Fractal Dimensions
• Granular Data
• Fuzzy Clustering
• Probabilistic Topic Models
• Information Granularity
• Ontology-Based Simulations
• Agent-Based Modeling
• Simulation Optimization Hybrids
• Evolutionary Algorithms
• Control Framework