✨
AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
The overall objective is to determine optimal production units in order to minimize production cost while the system operates in its safe limit.
📌 3 Key Takeaways
🎯
Objective & Hypothesis:The optimal allocation of powers is one of main functions of the manufacturing operation and control of electrical energy.
📊
Key Findings & Data:The overall objective is to determine optimal production units in order to minimize production cost while the system operates in its safe limit.
💡
Conclusion & Impact:This article proposes a hybridization between deterministic and stochastic approaches (Method of Davidon-Fletcher-Powell and genetics) to improve the optimization of the cost function nodes
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Optimization · DFP · Power Flow
Abstract
The optimal allocation of powers is one of main functions of the manufacturing operation and control of electrical energy. The overall objective is to determine optimal production units in order to minimize production cost while the system operates in its safe limit. This article proposes a hybridization between deterministic and stochastic approaches (Method of Davidon-Fletcher-Powell and genetics) to improve the optimization of the cost function nodes
Keywords
🔖
Cite This Article
Younes, M., Hadjeri, S. (2011). DEVELOPMENT OF OPTIMIZATION STRATEGIES COMBINING RANDOM AND DETERMINISTIC METHODS. International Journal of Electronics Mechanical and Mechatronics Engineering, Cilt: 1 Sayı: 1, 1–5. https://ajindex.com/articles/974759