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Large Scale Systems - Science topic
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Let us discuss about the advantages, disadvantages, and use of powerful decomposition techniques like Bender's decomposition for large-scale optimization. I invite my esteemed colleagues and researchers to share important literature, ways of implementation, and potential application areas of decomposition algorithms, in this forum.
When we are dealing with Large-Scale Global Optimization (LSGO), what is the best-based approach: algorithms-based decomposition or algorithms-based Non decomposition?
Mathematical programming is the best optimization tool with many years of strong theoretical background. Also, it is demonstrated that it can solve complex optimization problems on the scale of one million design variables, efficiently. Also, the methods are so reliable! Besides, there is mathematical proof for the existence of the solution and the globality of the optimum.
However, in some cases in which there are discontinuities in the objective function, there would be some problems due to non-differentiable problem. Some methods such as sub-gradients are proposed to solve such problems. However, I cannot find many papers in the state-of-the-art of engineering optimization of discontinuous optimization using mathematical programming. Engineers mostly use metaheuristics for such cases.
Can all problems with discontinuities be solved with mathematical programming? Is it easy to implement sub-gradients for large scale industrial problems? Do they work in non-convex problems?
A simple simple example of such a function is attached here.
Hello, I am interested in tracking the decrease in initiation events of different wildland fuel combustion.
Apart from the experimental procedures, is there any simulation software that can help me model the suppression of a burning object through water or water mixed with chemical additives?
Thank you in advance.
Can anyone please suggest appropriate scales for measuring university graduates' voluntary and involuntary unemployment, subjective and objective employability and visible and invisible underemployment?
Hello everyone,
Recent studies show that 70-90% of construction Megaprojects suffer cost and time overrun due to poor risk management, this underlines that the existing risk management and uncertainty management fail to manage these projects effectively. In your point of view, what is the main limitations and weaknesses associated with existing standard uncertainty management approaches in Megaprojects context?
Thank you in advance for your comments,
Mustafa
Scheduling Real Time tasks HPC for energy efficiency and data locality awareness
I am searching for FSM algorithms (with exact or approximate search) that perform for General Graphs Input . Thank you
I would like to screen any approaches in which researchers modelled energy efficiency in energy system models (ESM) since I am interested to integrated the feature of energy efficiency into an equilibrium model with multiple fuels. Energy efficiency measures may take place on the demand side as well as on the supply side.
Thanks a lot for any hints concerning this issue!
Given an auto-scaling system, we face inputs that have unpredictable patterns and volumes. Because they are allocated per input resource, fluctuations of input volume have much overhead of the resource. Can you identify an algorithm that can help the systems performance?
