[PDF][PDF] Self-learning genetic algorithm for a timetabling problem with fuzzy constraints

R Perzina, J Ramik - … Journal of Innovative Computing, Information and …, 2013 - ijicic.org
A Timetabling Problem is an NP-hard combinatorial optimization problem which lacks
analytical solution methods. During the last two decades several algorithms have been …

[PDF][PDF] Implementing Genetic Algorithm-Based Expert Systems to Enhance Academic Career Planning

A El Yessefi, L Cherrat, MR Ech-Charrat… - … Journal of Information …, 2024 - researchgate.net
The integration of technology in education, particularly through the combination of adaptive
learning and Artificial Intelligence (AI), has significantly transformed teaching and learning …

Self-learning genetic algorithm for neural network topology optimization

R Perzina - Agent and Multi-Agent Systems: Technologies and …, 2015 - Springer
The aim of this paper is presentation of encoding for self-adaptation of genetic algorithms
which is suitable for neural network topology optimization. Comparing to previous …

[PDF][PDF] A Representation Framework of University Lecture Scheduling for a Multi-Phase Heuristic Sequential Greedy Solver

Z Li, V Prasad - researchgate.net
This paper introduces the University Course Timetabling Problem (UCTP) using the
University of the South Pacific (USP) as a case study. It provides a theoretical presentation …

[PDF][PDF] A Heuristic Multi-Phase Sequential Greedy Solver for Constrained University Lecture Scheduling

Z Li, V Prasad - International Journal of Latest Trends in Software …, 2011 - researchgate.net
This paper discusses the scheduling automation algorithm that has been applied to the
university course timetabling problem (UCTP) in the University of the South Pacific (USP) …

[引用][C] Timetabling problem with fuzzy constraints: a self-learning genetic algorithm

R Perzina, J Ramik - International Journal of Engineering and Innovative …, 2013