I have found that evolutionary optimization can handle multimodal optimization problems using a multi-objective utility function. This allows tradeoffs with competing and conflicting goals. I have used EvolOpt on many different problems during the last thirty years. I discovered this algorithm while teaching an optimization class and evolutionary algorithms class. In the neural network class, I developed an evolutionary NN that can discover a non-linear mapping from sensor data space to feature space to learn rules to guide a missile to a target. I have a C++ version I could share.
Currently, there is no known tool named Chrooo associated with C++ optimization. If you meant another tool or if there was a typo, please provide more details so I can give you accurate information.
General C++ Optimization Tips
Avoid Unnecessary Copying: Use references and pointers instead of copying large objects.
Use Efficient Containers: For example, prefer std::vector over std::list for sequential access.
Inline Functions: Use inline for small, frequently called functions.
Parallelization: Use multithreading and libraries like OpenMP or Intel TBB for parallel processing.
If you have more specific questions or need assistance with these tools, please let me know.
Sorry my idea C++ optimization techniques is not C++ code optimization, but system operation in a complex environment. It's the old operations research problems.
We are very interested in the evolutionary optimization techniques you mentioned, particularly your work with EvolOpt and the evolutionary neural network. Our team possesses substantial expertise in optimization techniques, algorithm analysis, string manipulation, and several programming languages, including C, C++, and Python. Additionally, we are proficient in data analysis, processing, and visualization using R and Python.
We are eager to collaborate with you on any projects you might have in mind. We believe that combining our skills and knowledge with your innovative approaches could yield excellent results. Our team is committed to timely and high-quality work, and we are excited about the possibility of working together.
Please let us know if you have any ideas or projects that you would like to discuss further. We are looking forward to the opportunity to collaborate.
Best regards,
Lead, Team Tech Wing
American International University-Bangladesh (AIUB)
Thank you for your very informative answer. The details you provided on optimizing C++ with gperftools are extremely useful.
I am also pleased to mention that KTH Royal Institute of Technology in Stockholm, Sweden, is one of my most favorite universities. I would be thrilled to collaborate with you on any projects that align with my interests. Additionally, I would appreciate any information you could share regarding funding opportunities for MS or PhD programs in computer science at KTH.
Best regards,
Lead, Team Tech Wing
American International University-Bangladesh (AIUB)