The goal of this study is to model human body correctly, according to the principles and the standards
used to calculate the humanoid parameters. The model is built by using VN software and then it was
implemented in Matlab Simulink, in order to bu
ild a control system for simulating the humanoid balance
during standing. Precise and robust balance was reached by using PID controller with parameters
optimized by using genetic algorithm (GA). The control performance was tested by applying external
disturbance to the humanoid, the results show that the humanoid can retrieve its balance effectively.
Scientists nowadays increased their interest in artificial intelligence because
of the rapid development in the modern age. This development increased
the complexity of systems in order to consent society rapid needs in getting
systems of better r
eliability and high performance.
Artificial Intelligence solved many difficult and sticky problems.
We are going to define the genetic algorithms(GA) which is one of the
artificial intelligence branch because of its ability to solve many complex
problems in Different scientific aspects either in computer science[8] or
operational research and image processing[7] or social science[9].
In this essay, we used GA to find the maximum value of continuous function
within a limited rang to study the effect of some of the most important GA
parameters on the performance and accuracy of the results. We noticed the
effects of probability of mutation, population size and the number of the
repeated operations on the results accuracy and execution time in choosing
the Roulette Wheel Selection procedure. After that, we compare
between the Roulette Wheel procedure and the Elitism Selection procedure.
