A bi-criteria hybrid genetic algorithm with robustness objective for the course timetabling problem

DOI10.1016/j.cor.2017.09.007zbMath1391.90235OpenAlexW2750824817MaRDI QIDQ1652501

Ayla Gülcü, Can Akkan

Publication date: 11 July 2018

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2017.09.007

zbMATH Keywords

robustnessgenetic algorithmscourse timetablingbi-criteria optimization

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (7)

Minimum penalty perturbation heuristics for curriculum-based timetables subject to multiple disruptions ⋮ Educational timetabling: problems, benchmarks, and state-of-the-art results ⋮ A matheuristic for customized multi-level multi-criteria university timetabling ⋮ Nature inspired meta-heuristic algorithms for solving the load-balancing problem in cloud environments ⋮ An assignment problem and its application in education domain: a review and potential path ⋮ Robust university course timetabling problem subject to single and multiple disruptions ⋮ A neutrality-based iterated local search for shift scheduling optimization and interactive reoptimization

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