Gravitational Search Algorithm (GSA) was proposed by E. Rashedi to solve the optimization problem, especially non-linear problems, following the principles of Newton's law of gravitation. In the proposed algorithm, particles are considered as objects and their performance is estimated taking into account their masses. more...
There are many optimization methods inspired by processes occurring in nature, such as evolutionary computation, artificial immunology, population methods and others. SSG is basically defined as iterative generation and combination processes working with a garden of potential solutions called seedlings. The Saplings Sowing and Growing (SSG) algorithm was proposed by A. Karci with co-authors in 2002. The algorithm is inspired by the evolution of ...
We will try to cover the most popular points about these previous topics to well understand what we need to deal with as programmers or developers. more...
Here we will describe only one of the aspects of machine learning — activation functions. We will delve into the inner workings of the process. more...
In the previous article Creating an EA that works automatically (Part 13): Automation (V), I explained how a trader even without any programming knowledge can create the required basis for converting a trading system into an automated EA. This is what we have been doing throughout this series of articles. These concepts and information apply to any EA including any you create. In this article, we will consider one of the many ways to accomplish ...
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