@inbook {6980,
	title = {A Particle Swarm Optimization-Based Approach for Finding Reliability in a Total Hip Prosthesis},
	booktitle = {Artificial Neural Network Applications in Business and Engineering},
	volume = {10},
	year = {2021},
	pages = {222-242},
	abstract = {Nowadays, we assist the global extension of reliability optimization problems from the design phase of systems and sub-systems to the design and operational phases, not only of systems and sub-systems, but also of bio functionality design. This chapter investigates the relative performances of particle swarm optimization (PSO) variants when used to find reliability in the total hip prosthesis by finding the maximization of jumping distance (JD) to avoid dislocation and the minimization of system{\textquoteright}s stability to offer mobility. Statistical analysis of different cases of head diameters of 22, 28, 36, 40 mm has been conducted to survey the convergence and relative performances of the main PSO variants when applied to solve reliability in the total hip prosthesis.},
	author = {Bouakkar, Loubna and Ameddah, Hacene and Mazouz,  Hammoudi}
}
@proceedings {7001,
	title = {Analysis of the shock absorber thickness on the rehabilitation of the fracture of liner on alumina in acetabular cup (Titanium - Alumina) in the total hip prosthesis},
	journal = {The First International Conference on Innovation in Biomechanics and Biomaterials (ICIBAB 2019) , April 10-11},
	year = {2019},
	address = {Oran, Algeria},
	author = {Bouakkar, Loubna and Ameddah, Hacene and Mazouz,  Hammoudi}
}
