Science topics: Applied MathematicsOptimization
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Optimization - Science topic
Explore the latest questions and answers in Optimization, and find Optimization experts.
Questions related to Optimization
I am experiencing challenges culturing Human Umbilical Vein Endothelial Cells (HUVEC) and seeking advice for optimization.
Observations:
- Slow growth rate: My HUVEC cells exhibit a slow growth rate, reaching only around 5 million cells in an 80% confluent T75 flask.
- Altered cell morphology: I have observed changes in cell shape between passages 5 and 18, as evidenced by the attached images for both passages.
Question:
- Passage number determination: Does the passage number start counting after thawing HUVECs from liquid nitrogen or upon initial plating after isolation?
- Optimization strategies: Based on the observations described above, I would appreciate any suggestions or recommendations for optimizing HUVEC cell culture, particularly regarding: Improving growth rate and cell yield?
I would like to inquire about the theory titled ‘Geometric Mean Optimizer for Solving a Problem of a Real-Life Embedded System Application.’ Any information, no matter how small, would be greatly appreciated.
I got an problem solving a MIQCP: I want to cut my feaseable region into to spaces with a quadratical constraints (half circle). For points inside my half circle there is no problem, but the area outsid is a non-convex one. I use disjunctive programming to activite only one of the constraints. Is there any way to solve such a problem with Cplex in Matlab (cplexmiqcp())? Would be very grathefull if someone have experience with such a problem and can share his knowledge with me :)
Best regards,
Jannik
Dear Colleagues,
I hope this message finds you well. I am working on a research project involving the development of a Mixed-Integer Linear Programming (MILP) model for optimizing quality-based supply chain management, particularly focusing on managing the deterioration of perishable food items.
I have written the preliminary LINGO code for this model, but unfortunately, it is not functioning as expected. The variable values (solutions) are incorrect or not converging as anticipated, and despite my best efforts, I am unable to resolve the issue.
I am genuinely seeking help from someone with expertise in MILP modeling and supply chain optimization who can assist me in debugging and improving the code. Your contribution would be highly valuable, and in recognition of your efforts, I would be more than happy to offer co-authorship on the paper once the work is successfully completed.
If you are willing to help or guide me through the corrections, please do not hesitate to reach out. I would greatly appreciate any advice or support.
Looking forward to your response.
Best regards,
Ashish Kumar
I made a DesignBuilder model that includes PV solar collectors using two electric load centers. After simulation, the annual PV generation was about + 3700 KWh.
Then, I identified an optimization problem with two objectives (minimize thermal discomfort and maximize PV electricity generation). The decision variables are windows ratios, wall materials, and building rotation, while any parameters related to PV solar collectors design are kept constant.
In the optimization results, the power generation values are negative. Consequently, the optimum design scenarios and the pareto front are misleading.
I am optimizing a multi-stage optimization model for disaster response relief delivery. In this regard, I want to know the realistic values of cost parameters related to the operating and setup costs of temporary relief logistics facilities.
Can anyone guide me what are the realistic ranges of these costs, and how they are related to each other, and with the capacity of temporary relief facilities?
Also, please comment on the effect of the planning horizon's length on these costs.
My name is Apurva Saoji. I am a Ph.D scholar in Computer engineering in India. I am looking for international expert in reviewing my PhD thesis, "Competitive Optimization Techniques to Minimize Energy Consumption in Wireless Sensor Network," Kindly do the needful.
I have a function of the form a+(b*r^u) + c*u where a, b, r and c are dependent variables and u is the independent variable.
I am trying to optimize on a, b, r and c by setting a least-squares objective function in COMSOL Multiphysics using the Nelder Mead solver.
I have specified appropriate bounds for the variables, tightening them after each trial when the solver fails to converge, with no solution in sight.
Any recommendations on why it would not converge?
When working on performance-critical applications in C++, understanding where and how your program spends its time is crucial. Two powerful tools that can help with this are gperftools and Chrono. This blog post will provide an overview of how these tools can be leveraged to profile and optimize your C++ applications effectively.
Related Paper:
Article Unleashing the Potential of C++: Using Optimization Techniqu...
gperftools: In-Depth Performance Profiling
gperftools, also known as Google Performance Tools, is a suite of performance analysis tools that includes CPU and memory profilers.
Key Features:
- CPU Profiling: Identifies which parts of your code consume the most CPU time, helping to pinpoint bottlenecks.
- Heap Profiling: Tracks memory allocations to detect leaks and optimize usage.
- Tcmalloc: A fast memory allocator that can improve application performance by replacing the default allocator.
Usage Steps:
- Installation: Easily installable on most systems using package managers.
- Instrumentation: Simple integration into your C++ code with minimal changes.
- Analysis: Generates detailed reports that highlight performance issues, which can be visualized using various tools.
gperftools is particularly useful for identifying inefficiencies in large and complex applications, allowing developers to focus their optimization efforts where they are most needed.
Chrono: High-Precision Timing
Chrono is a part of the C++11 standard library, designed for high-precision time measurement and manipulation.
Key Features:
- High-Resolution Clocks: Provides precise time measurements down to microseconds and nanoseconds.
- Duration Arithmetic: Simplifies operations with different time units.
- Steady Clock: Ensures consistency in timing, unaffected by system clock changes.
Usage Steps:
- Integration: Easily included in your C++ projects as it is a standard library component.
- Measurement: Offers straightforward syntax for measuring elapsed time with high precision.
- Reporting: Allows developers to report timing results in various units, aiding in the fine-tuning of performance-critical code sections.
Chrono is ideal for scenarios where precise timing is essential, such as measuring the performance of specific code segments or functions.
Combining gperftools and Chrono
Using gperftools and Chrono together provides a comprehensive approach to performance optimization. While gperftools identifies where the bottlenecks and inefficiencies are, Chrono measures the exact time taken by specific code sections, allowing for targeted optimizations.
Benefits of Combined Usage:
- Detailed Insights: gperftools offers a broad view of performance issues, and Chrono provides precise timing for critical sections.
- Targeted Optimization: By combining profiling data with precise timing, you can focus on optimizing the most impactful areas of your code.
- Improved Efficiency: This dual approach helps in achieving significant performance improvements, ensuring your application runs faster and more efficiently.
Conclusion
Optimizing C++ applications requires a thorough understanding of both where and how time is being spent during execution. gperftools and Chrono are invaluable tools that, when used together, provide a detailed and precise picture of your program's performance.
By integrating these tools into your development workflow, you can systematically identify and address performance bottlenecks, leading to faster, more efficient applications. Whether you're dealing with CPU-bound operations or need precise timing measurements, gperftools and Chrono offer the capabilities you need to enhance your C++ application's performance.
Note by
Kazi Redwan
Lead, Team Tech Wing
Department of Computer Science
American International University-Bangladesh (AIUB)
Related Paper:
Details:
How can a multidisciplinary approach improve the management of fluid and electrolyte disturbances in critically ill patients?
What considerations should be made regarding fluid and medication administration to prevent fluid and electrolyte imbalances in the ICU?
. How does the management of electrolyte disturbances differ in emergent versus non-emergent settings?
What factors contribute to the development of hypomagnesemia in critically ill patients, and how should it be treated?
What are the causes and clinical manifestations of hypophosphatemia, and how should it be managed in critically ill patients?
What are the diagnostic steps and treatment strategies for hyperkalemia in the ICU?
How does succinylcholine use in critically ill patients relate to the risk of acute hyperkalemia?
What are some common fluid and electrolyte disturbances encountered in the intensive care unit (ICU)?
. What are the potential adverse outcomes associated with liberal fluid administration in critically ill patients?
How does hyponatremia develop in the critical care setting, and what are its clinical manifestations?
. What are the key principles in the management of hyponatremia, particularly in symptomatic patients?
Describe the treatment approach for hypokalemia and the potential complications associated with severe hypokalemia
Can you describe the process for initiating and titrating clozapine therapy in a patient with treatment-resistant schizophrenia?
What strategies can be employed to address antimicrobial resistance and promote responsible antibiotic prescribing?
How can healthcare organizations measure the effectiveness of their antimicrobial stewardship efforts?
I would like to optimize my extraction using responce surface methodology but I‘m perplexed in choosing what design should I use? I just have 2 factors with 2 levels each, so I considered using CCD but I don’t understand the basic of the run test results which have some replication or about the lack of fits (is this crucial?). If I change it to no replication or minimizing lack of fits, is it ok? Or should I consider another design?
thank you very much for your kind response
What is the role of interprofessional collaboration in optimizing outcomes with ivabradine therapy?
How should healthcare providers monitor patients receiving ivabradine therapy?
What are the contraindications for using ivabradine?
How does ivabradine affect heart rate without affecting myocardial contractility?
What are the common adverse effects associated with ivabradine?
What is the mechanism of action of ivabradine?
The structure of hydroxyurea has been mentioned in different papers as a and b (attached figure). However, when I try to optimize the structure without restriction (at different theoretical levels), the resulting output is c. why does it happen?
What are some emerging therapies or neuroprotective agents being investigated for the management of TBI?
What are some challenges in predicting outcomes for patients with severe TBI, and how can they be addressed?
How does a multidisciplinary team-based approach enhance the care of patients with severe TBI?
What are some potential complications associated with prolonged immobilization in TBI patients, and how can they be prevented?
How does multimodal monitoring contribute to TBI management, and what modalities are typically included?
What are some strategies for reducing intracranial pressure (ICP) in patients with severe TBI?
What are some key radiographic findings indicative of severe TBI on CT imaging?
Describe the significance of pupil reactivity in TBI assessment.
What are the primary goals of management in traumatic brain injury (TBI)?
Am interested on how we can improve the manufacturing, procurement, distribution and use of pharmaceuticals both medicines and medical supplies in Sub-Sahara Africa
How can the various stages of supply chain management be addressed to increase accessibility, availability and affordability of medicines and medical supplies by the populations of Sub-Sahara Africa
What are the available literature reviews in respect to risk management and reselience; agility and reselience; digitalization; transportation; climate changes in respect to environmental; social and governance; consortium buying; offshoring; in-shoring; local manufacturing versus international manufacturing; local sourcing versus international sourcing; opportunities available at all stages of the supply chain management; innovations necessary to scale increased access; strategic decisions necessary to be taken and other topics related with supply chain management of medicines and medical supplies
2024 5th International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2024) will be held in Shenzhen, China, from June 14 to 16, 2024.
---Call For Papers---
The topics of interest for submission include, but are not limited to:
(1) Artificial Intelligence
- Intelligent Control
- Machine learning
- Modeling and identification
......
(2) Sensor
- Sensor/Actuator Systems
- Wireless Sensors and Sensor Networks
- Intelligent Sensor and Soft Sensor
......
(3) Control Theory And Application
- Control System Modeling
- Intelligent Optimization Algorithm and Application
- Man-Machine Interactions
......
(4) Material science and Technology in Manufacturing
- Artificial Material
- Forming and Joining
- Novel Material Fabrication
......
(5) Mechanic Manufacturing System and Automation
- Manufacturing Process Simulation
- CIMS and Manufacturing System
- Mechanical and Liquid Flow Dynamic
......
All accepted papers will be published in the Conference Proceedings, which will be submitted for indexing by EI Compendex, Scopus.
Important Dates:
Full Paper Submission Date: April 1, 2024
Registration Deadline: May 31, 2024
Final Paper Submission Date: May 14, 2024
Conference Dates: June 14-16, 2024
For More Details please visit:
Invitation code: AISCONF
*Using the invitation code on submission system/registration can get priority review and feedback
I have an equation in the topic cell less in 5G . The equation is about the system capacity can be calculated as the aggregation of
all active RUs throughput. Then we propose the following as
Optimization problem:
argmax (∑ ∑ ∑ bk,n Rm,k,n) Xb ,Xy m∈M k∈K n∈N
Subject to:
C1 : yk,m ∈ {0, 1}, ∀k ∈ K, m ∈ M (4)
C2 : bk,n ∈ {0, 1}, ∀k ∈ K, n ∈ N (5)
C3 : RD
m,k ≥ RD,min
m,k , ∀k ∈ K, m ∈ M.
The constraints C1, C2, and C3 indicate the user k will associate with a particular RU m, allocate with RB n, and guarantee
minimum rate requirements of the users, respectively. I have a difficult equation that cannot be implemented in MATLAB. I need an equation similar to it, but it should be simple. Can anyone help me ?
Optimization by genetic algorithm (GAO) in electricity and smart grid?
why we use it ?
what is the process of this algorithms ?
What are the possible ways of rectifying a lack of fit test showing up as significant. Context: Optimization of lignocellulosic biomass acid hydrolysis (dilute acid) mediated by nanoparticles
I am working on a project that implements PSO to solve a nonlinear optimization equation (minimization problem). I want to ensure that PSO is not falling for premature convergence (i.e choosing a solution too early and claiming it to be the best solution).
the ERROR was reported as:
SimTK Exception thrown at InteriorPointOptimizer.cpp:264:
Optimizer failed: Ipopt: Infeasible problem detected (status 2)
OPTIMIZATION FAILED...
CMC::computeControls: Optimizer could not find a solution.
Unable to find a feasible solution at time = 0.49( both feet stroked).
Model cannot generate the forces necessary to achieve the target acceleration.
Possible issues: 1. not all model degrees-of-freedom are actuated,
2. there are tracking tasks for locked coordinates, and/or
3. there are unnecessary control constraints on reserve/residual actuators.
to solve this problem ,i had double checked Possible issues 1-3 above, however it did't work.
thanks for your advices,and if you get interested in this problem, please do not hesitate to leave your massages.
I am using a genetic algorithm to solve a multivariable optimization problem. The difficulty in exploring all the solutions is that the permissible set of each variable of the solution is of the form {0} U [a,b], where 0 < a < b (the magnitudes are around a=4 and b=15). "Solutions" that do not satisfy the constraints get a low fitness. So when the genetic explores the search space, it is difficult that it tries solutions with one variable at 0 (zero). I can try to enlarge the interval around 0 and to modify the fitness of variables close to zero. Does anybody know how to treat this kind of constraints? By the way I am using the DEAP genetic algorithms, more precisely this one: http://deap.gel.ulaval.ca/doc/default/examples/ga_onemax.html.
What is the difference between optimization and standardization in research? What difference does validation have from others?
I am currently using pET26b(+) plasmid however, the gene is problematic. and reduce the growth of BL21DE3 cell upon iptg induction. how much yeast is efficent for pYES expression vector.
Dear Mathematicians, Control Engineers, and Optimization Enthusiastics, Could you please compute the domain through which this inequality holds (3/(x-2))<-1? If yes, please prove your answer.
(Note that: the solution is not x> -1, and please don’t use any symbolic math software)
Can any one let me know Classifications of Optimization Techniques are useful for Current research trends? How to choose our suitable Optimization Technique for our research problem.
my article is Optimally Enhancement Rural Development Support Using Hybrid Multy Object Optimization (MOO) and Clustering Methodologies: A Case South Sulawesi - Indonesia
I am trying to optimize my antibodies for free floating IHC-IF on paraformaldehyde fixed mouse brain sections. I want to preserve my slices in an appropriate cryopreservation solution for later use and save their freshness. I can not order ethylene glycol due to some legal issues. They suggested diethylene glycol instead of ethylene glycol but I couldn't find any recipe or paper about its use on slice preservation. Is ıt possible to use diethylene glycol instead of ethylene glycol for slice cryopreservation? And lastly, can I use it with PVP40?
My protocol for cropreservation is:
Sucrose ----------------------------- 300 g
Polyvinyl-pyrrolidone (PVP-40) --- 10 g
0.1M PB ----------------------------- 500 ml
Ethylene glycol --------------------- 300 ml
Thank you in advance.
Can anyone suggest me some new optimization techniques and thair matlab codes.
Hello experts
I am dealing with an optimization problem in which the algorithm will choose the section of the column (RC structure) between a lower and an upper bound (e.g., LB and UB).
How can I ask the algorithm to change the cross section if the condition of the period isn't satisfied?
N.B: the period value is retrieved from the sap2000 software using the API, and it has no relation with the design variables to be set as a constriant.
Any one knows how to do it please?
The set of optimal solutions obtained in the form of Pareto front includes all equally good trade-off solutions. But I was wondering, whether these solutions are global optima or local optima or mix of both. In other words, does an evolutionary algorithm like NSGA-II guaranties global optimum solutions?
Thank you in anticipation.
What are the best practices for optimizing performance and efficiency in R programming, particularly when dealing with large datasets or computationally intensive tasks? Are there any specific techniques or packages that researchers should be aware of?
Hi everyone,
I want to use the Casadi optimization package for my NLMPC controller in Matlab/Simulink.
I read the examples of https://web.casadi.org/ site, but I can't modify them for my problem.
I want to use Casadi for the tacking problem, so I will have a time-varying cost function and I have time-varying constraints as well.
All the examples which I saw aren't included the time-varying cost function or time-varying constraints.
I would be grateful if anyone can help me.
Regards,
Hossein.
Suppose we have a HEN with several multi-pass heat exchangers. However, due to some technical constraints all these exchangers are modelled simply using single pass equations.
What will the impact if such a simplistic model is used in optimization problems, such as network optimization for retrofitting or cleaning scheduling?
For instance, it is clear that we may not end up with global optimal solutions but still what will the qualitative impact of such approximations?
I am using Gaussian to estimate the ionization potential of a cluster of molecules including 6 molecules of Methanol and 1 molecule of Fluorobenzene, I have optimized the geometry of the neutral cluster and then did a single point energy calculation of the optimized geometry with +1 charge, the difference between energy of the two gives me a rough estimate of the IP, my question is how can we interpret this IP, is it the IP of the whole system or the molecule from which the electron has been removed? also by visualizing the HOMO orbitals in both cases I noticed that the HOMO in neutral case is one of the Pi orbitals of the Fluorobenzene ring while in the ionized case it's the bonding orbital of one of the methanol molecules, not sure how to interpret that?
Hi everyone,
I'm performing DFT Calculation / Geometry Optimization of some 5,7-dibromobenzofurane hydrazide derivatives using ORCA 4.2.1 and BY3LP basis set (! B3LYP RIJK def2-TZVP def2/JK).
Each of 5,7-dibromobenzofurane derivatives has two isomers: anti-isomer and syn-isomer.
While the anti-isomer of a compound was successfully calculated with SCF converged after 43 cycles, the syn- one was not able to obtain the final results with this error:
----------------------------------------------------------------------------------
FINAL SINGLE POINT ENERGY -6213.007766579487 (Wavefunction not fully converged!)
----------------------------------------------------------------------------------
ERROR
This wavefunction IS NOT FULLY CONVERGED!
You can't use it for properties or numerical calculations !
Aborting the run ...
Please restart calculation (with larger maxiter/different convergence flags)
----------------------------------------------------------------------------------
Herein I attached two ouput files corresponding two isomers of a compound.