title: A Generalized National Planning Approach for Admission Capacity in Higher Education: A Nonlinear Integer Goal Programming Model with a Novel Differential Evolution Algorithm.
abstract: This paper proposes a nonlinear integer goal programming model (NIGPM) for solving the general problem of admission capacity planning in a country as a whole. The work aims to satisfy most of the required key objectives of a country related to the enrollment problem for higher education. The system general outlines are developed along with the solution methodology for application to the time horizon in a given plan. The up-to-date data for Saudi Arabia is used as a case study and a novel evolutionary algorithm based on modified differential evolution (DE) algorithm is used to solve the complexity of the NIGPM generated for different goal priorities. The experimental results presented in this paper show their effectiveness in solving the admission capacity for higher education in terms of final solution quality and robustness.
authors.affiliation: Department of Industrial Engineering, Faculty of Engineering, King Abdulaziz University, P.O. Box 80200, Jeddah 21589, Saudi Arabia.
authors.forename: Said Ali
authors.initials: SA
authors.lastname: El-Qulity
authors.affiliation: Department of Operations Research, Institute of Statistical Studies and Research, Cairo University, Giza 12613, Egypt.
authors.forename: Ali Wagdy
authors.initials: AW
authors.lastname: Mohamed
mesh_terms: D000293:Adolescent; D000465:Algorithms; D005075:Biological Evolution; D003657:Decision Making; D004493:Education; D006040:Goals; D006801:Humans; D008962:Models, Theoretical; D017711:Nonlinear Dynamics; D011340:Problem Solving; D012570:School Admission Criteria; D055815:Young Adult
references.citation: Springerplus. 2013 Dec 19;2:682
references.pmid: 24386626