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Everything about Scenario optimization
The scenario approach or scenario optimization approach is a technique for obtaining solutions to robust optimization and chance-constrained optimization problems based on a sample of the constraints. It also relates to inductive reasoning in modeling and decision-making. The technique has existed for decades as a heuristic approach and has more recently been given a systematic theoretical foundation. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Scenario optimizationA 5-minute orientation
- Skim a recent paper: Test Scenario Generation and Optimization Technology for Intelligent Driving SystemsInfluential work since 2022
- Pick up a classic book: The personal MBAThe most-reprinted book on the subject
- Read the landmark paper: Robust Model Predictive Control via Scenario OptimizationCited 240 times
- Go sideways: Interval predictor modelA closely related topic
- Go sideways: Marco Claudio CampiA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Robust Model Predictive Control via Scenario Optimization
Scenario optimization
Wait-and-judge scenario optimization
Simulation and optimization approaches to scenario tree generation
Scenario Reduction With Submodular Optimization
Risk and complexity in scenario optimization
Optimization-Based Scenario Reduction for Data-Driven Two-Stage Stochastic Optimization
A Scenario Optimization Model for Dynamic Reserve Site Selection
🆕 Influential since 2022
Test Scenario Generation and Optimization Technology for Intelligent Driving Systems
Scenario-oriented stacks allocation optimization for multi-stack fuel cell systems
Scenario-based multi-objective optimization strategy for rural PV-battery systems
Problem-driven scenario clustering in stochastic optimization
Many-objective optimization meets recommendation systems: A food recommendation scenario
📚 Books worth reading
The personal MBAJosh Kaufman · 2010
Marketing and Social MediaChristie Koontz · 2014- 📕In-flight transport performance optimizationGlenn B. Gilyard · 1997
Scenarios for risk management and global investment strategiesRachel Ziemba, Rachel E. S. Ziemba · 2007- 📕FinTech innovationPaolo Sironi · 2016
Quantitative finance and risk managementJan W. Dash · 2004
Oracle database problem solving and troubleshooting handbookTariq Farooq · 2016- 📕Facade Optimization Using Parametric Design and Future Climate Change ScenariosElliot Glassman · 2012
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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- Stochastic optimization Stochastic optimization (SO) are optimization methods that generate and use random variables. For stochastic optimization problems, the objective functions…
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