TimeNET Optimization Environment

• Main Authors: Christoph Bodenstein, Armin Zimmermann
• Format: Article
• Language: English
• Published: European Alliance for Innovation (EAI) 2015-12-01
• Series: EAI Endorsed Transactions on Cognitive Communications
• Subjects: scpn; simulation based optimization; petri nets
• Online Access: http://eudl.eu/doi/10.4108/icst.valuetools.2014.258193

In this paper a novel tool for simulation-based optimization and design-space exploration of Stochastic Colored Petri nets (SCPN) is introduced. The working title of this tool is TimeNET Optimization Environment (TOE). Targeted users of this tool are people modeling complex systems with SCPNs in TimeNET who want to find parameter sets that are optimal for a certain performance measure (fitness function). It allows users to create and simulate sets of SCPNs and to run different optimization algorithms based on parameter variation. The development of this tool was motivated by the need to automate and speed up tests of heuristic optimization algorithms to be applied for SCPN optimization. A result caching mechanism is used to avoid recalculations.