Abstract: This study discusses how to optimize the Bidirectional of the Central Pattern Generators (CPGs) to produce rhythmic patterns for human locomotion by using the enhancement Genetic algorithm and pattern search function. It also shows how small changes in some CPG parameters in stable domain result in different walking gaits, optimizing bidirectional two CPGs in stable domain do not only enhance movement but also generate rhythmic patterns similar to the rhythmic patterns derived from real data without any input or sensory feedback.
Abdalftah Elbori and Ali Albasher Gumma Albarki, 2020. Optimization of Nonlinear Differential Equations for Defining One Leg Human Locomotion. Journal of Engineering and Applied Sciences, 15: 3674-3683.