A survey of metaheuristic-based techniques for University Timetabling problems

By Rhyd Lewis. OR Spectr., 2007

345 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Industrial and Manufacturing Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/90368bbabe0eadec5a052ea55ebed8152423305b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Ahmet Cosar
2. Tansel Dökeroğlu
3. Tayfun Kucukyilmaz
4. Andrea Schaerf
5. Tommaso Urli
6. Ender Sevinç

In Industrial and Manufacturing Engineering

1. Ahmet Cosar
2. Tansel Dökeroğlu
3. Tayfun Kucukyilmaz
4. Andrea Schaerf
5. Tommaso Urli
6. Ender Sevinç

In Management Science and Operations Research

1. Ahmet Cosar
2. Tansel Dökeroğlu
3. Tayfun Kucukyilmaz
4. Ruggero Bellio
5. Ender Sevinç

Citations in the corpus

• Feature-based tuning of simulated annealing applied to the curriculum-based course timetabling problem (2014, background): “There exists a large number of variants of this problem, depending on the specific requirements of the institution involved (see, e.g., Kingston, 2013; Lewis, 2008; Schaerf, 1999).”
• A survey on new generation metaheuristic algorithms (2019, methodology): “Whale optimization algorithm (WOA) Mirjalili and Lewis (2016) propose WOA.”