arXiv (All)
open access
An Online Non-Stationary Simulation Optimization Approach Based on Regime Switching
Dynamic and evolving operational and economic environments present significant challenges for decision-making. We explore a simulation optimization problem characterized by non-stationary input distributions with regime-switching dynamics across sequential decision stages. This problem encompasses b
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Online Scheduling for Throughput Maximization of Time-varying Markovian Channels with Unknown Statistics#471208
- Use of simulation in a service desk of an oilfield services company#1168787
- EFFECTIVENESS OF SIMULATION-BASED LEARNING IN NURSING EDUCATION: THEORETICAL AND PRACTICAL ASPECTS#299660
- Discrete event simulation vs. queuing models: a resource allocation analysis in a Nigerian Bank#341627
- Plan-Driven Adaptive Bidding for First-Price Auctions with Budget Constraints under Nonstationarity#1037717
Record · ID 1129099
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive