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A group for communication on optimization and free product testing://t.me/+vazsAAcney4zYmZi
Attention! My Telegram doppelgangers have appeared, my real nickname is @JQS_aka_Joo
My github with optimization algorithms: https://github.com/JQSakaJoo/Population-optimization-algorithms-MQL5
All my publications: https://www.mql5.com/en/users/joo/publications
I have been developing systems based on machine learning technologies since 2007 and in the field of artificial
intelligence, optimization and forecasting.
I took an active part in the development of the MT5 platform, such as the introduction of support for universal parallel
computing on the GPU and CPU with OpenCL, testing and backtesting of distributed
computing in the LAN and cloud during optimization in MT5, my test functions are included in the standard delivery of the terminal.
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My Products:
https://www.mql5.com/en/users/joo/seller
Recommended Brokers:
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The article discusses Stochastic Diffusion Search (SDS), which is a very powerful and efficient optimization algorithm based on the principles of random walk. The algorithm allows finding optimal solutions in complex multidimensional spaces, while featuring a high speed of convergence and the ability to avoid local extrema.
The article considers the algorithm of the MEC family called the simple mind evolutionary computation algorithm (Simple MEC, SMEC). The algorithm is distinguished by the beauty of its idea and ease of implementation.
The article presents a detailed description of the shuffled frog-leaping (SFL) algorithm and its capabilities in solving optimization problems. The SFL algorithm is inspired by the behavior of frogs in their natural environment and offers a new approach to function optimization. The SFL algorithm is an efficient and flexible tool capable of processing a variety of data types and achieving optimal solutions.
The article describes the principles, methods and possibilities of using the Electromagnetic Algorithm in various optimization problems. The EM algorithm is an efficient optimization tool capable of working with large amounts of data and multidimensional functions.
Saplings Sowing and Growing up (SSG) algorithm is inspired by one of the most resilient organisms on the planet demonstrating outstanding capability for survival in a wide variety of conditions.
In this article, I will consider the Monkey Algorithm (MA) optimization algorithm. The ability of these animals to overcome difficult obstacles and get to the most inaccessible tree tops formed the basis of the idea of the MA algorithm.
In the current article, I will study and test the most powerful optimization algorithm - harmonic search (HS) inspired by the process of finding the perfect sound harmony. So what algorithm is now the leader in our rating?
GSA is a population optimization algorithm inspired by inanimate nature. Thanks to Newton's law of gravity implemented in the algorithm, the high reliability of modeling the interaction of physical bodies allows us to observe the enchanting dance of planetary systems and galactic clusters. In this article, I will consider one of the most interesting and original optimization algorithms. The simulator of the space objects movement is provided as well.
The product has been updated to version 1.6 (including for MT5), in which the already incredible search capabilities have become even cooler! Owners of purchased licenses for AO Core can always be sure that they have the best solution search thanks to the author's constant research in the field of optimization. Follow my news and read my articles, I wish you all success in all your endeavors!
1. Increased the speed of the library.
2. The scheme of checking for duplicates has been improved.
https://www.mql5.com/ru/market/product/92455
E. coli bacterium foraging strategy inspired scientists to create the BFO optimization algorithm. The algorithm contains original ideas and promising approaches to optimization and is worthy of further study.
https://www.mql5.com/ru/market/product/92455
The amazing ability of weeds to survive in a wide variety of conditions has become the idea for a powerful optimization algorithm. IWO is one of the best algorithms among the previously reviewed ones.
AO Core is the core of the optimization algorithm, it is a library built on the author's HMA (hybrid metaheuristic algorithm) algorithm. Pay attention to the MT5 Optimization Booster product , which makes it very easy to manage the regular MT5 optimizer . An example of using AO Core is described in the article: https://www.mql5.com/ru/articles/14183 https://www.mql5.com/en/blogs/post/756510 This hybrid algorithm is based on a genetic algorithm and contains the best qualities and properties of
In this article, I will consider the Bat Algorithm (BA), which shows good convergence on smooth functions.