Future paths for integer programming and links to artificial intelligence
Computers and Operations Research - Special issue: Applications of integer programming
Computers and Operations Research
Reducing bias and inefficiency in the selection algorithm
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Automating Space Allocation in Higher Education
SEAL'98 Selected papers from the Second Asia-Pacific Conference on Simulated Evolution and Learning on Simulated Evolution and Learning
Some Observations about GA-Based Exam Timetabling
PATAT '97 Selected papers from the Second International Conference on Practice and Theory of Automated Timetabling II
Space Allocation: An Analysis of Higher Education Requirements
PATAT '97 Selected papers from the Second International Conference on Practice and Theory of Automated Timetabling II
Three Methods to Automate the Space Allocation Process in UK Universities
PATAT '00 Selected papers from the Third International Conference on Practice and Theory of Automated Timetabling III
Solving the modular exam scheduling problem with genetic algorithms
IEA/AIE'93 Proceedings of the 6th international conference on Industrial and engineering applications of artificial intelligence and expert systems
Introduction to Genetic Algorithms
Introduction to Genetic Algorithms
Simulated annealing and genetic algorithms for minimizing mean flow time in an open shop
Mathematical and Computer Modelling: An International Journal
Hi-index | 0.98 |
A new case of space allocation problem is considered. The study is based on a real-world multi-stage hostel space allocation for university students. A multi-level application of genetic algorithm metaheuristic with promising results is presented. Based on the case study, we examined the sensitivity analysis of various genetic algorithm operators in order to establish the baseline for practical deployment. The feasibility rate of the solutions obtained were also determined and presented.