Variant of local multicore optimisation:
- An Expert Advisor-Tester is launched on a chart.
- It opens several charts with advisor-readers (optimisation algorithms from this article series): Agents.
- The Expert Advisor from step 1 receives real-time data from the Expert Advisors from step 2.
Probably, if you try hard enough, you can make such a scheme.
fxsaber #:
A variant of local multicore optimisation:
- An Expert Advisor-Tester is launched on a chart.
- It opens several charts with advisor-readers (optimisation algorithms from this article series): Agents.
- The Expert Advisor from step 1 receives real-time data from the Expert Advisors from step 2.
Probably, if you try hard enough, you can make such a scheme.
Yes, you can, assuming that each chart works in a separate thread. I tried that, but the charts hang, probably because I did it in scripts and not in Expert Advisors. I have not studied the question completely.
I know that a fully working scheme is to parallel on the kernels-agents of the staff optimiser, which searches only one single counter, and the advisor on the chart feeds the agents sets and takes back the result of FF.
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Check out the new article: Population optimization algorithms: Whale Optimization Algorithm (WOA).
Whale Optimization Algorithm (WOA) is a metaheuristic algorithm inspired by the behavior and hunting strategies of humpback whales. The main idea of WOA is to mimic the so-called "bubble-net" feeding method, in which whales create bubbles around prey and then attack it in a spiral motion.
Whale Optimization Algorithm is a metaheuristic optimization algorithm proposed by Mirjalili and Lewis in 2016. They were inspired by the hunting behavior of whales.
Whales use a variety of hunting strategies, including "bubble net" and "spiral penetration". In a "bubble net", whales surround their prey by creating a "net" of bubbles to confuse and frighten the prey. In "spiral penetration", whales rise from the depths of the ocean in a spiral motion to capture prey.
These hunting strategies were abstractly modeled in the WOA algorithm. In the WOA algorithm, "whales" represent solutions to an optimization problem, while the "hunt" represents the search for the optimal solution.
Author: Andrey Dik