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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:
https://rbfxdirect.com/ru/lk/?a=dnhp
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.
In this article, I will consider the Firefly Algorithm (FA) optimization method. Thanks to the modification, the algorithm has turned from an outsider into a real rating table leader.
Fish School Search (FSS) is a new optimization algorithm inspired by the behavior of fish in a school, most of which (up to 80%) swim in an organized community of relatives. It has been proven that fish aggregations play an important role in the efficiency of foraging and protection from predators.
The next algorithm I will consider is cuckoo search optimization using Levy flights. This is one of the latest optimization algorithms and a new leader in the leaderboard.
Let's consider one of the newest modern optimization algorithms - Grey Wolf Optimization. The original behavior on test functions makes this algorithm one of the most interesting among the ones considered earlier. This is one of the top algorithms for use in training neural networks, smooth functions with many variables.
In this article, we will study the algorithm of an artificial bee colony and supplement our knowledge with new principles of studying functional spaces. In this article, I will showcase my interpretation of the classic version of the algorithm.
This time I will analyze the Ant Colony optimization algorithm. The algorithm is very interesting and complex. In the article, I make an attempt to create a new type of ACO.
In this article, I will consider the popular Particle Swarm Optimization (PSO) algorithm. Previously, we discussed such important characteristics of optimization algorithms as convergence, convergence rate, stability, scalability, as well as developed a test stand and considered the simplest RNG algorithm.
