Biased random-key genetic algorithms for combinatorial optimization

By J. Gonçalves, Maurício Resende. J. Heuristics, 2011

564 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/fc66d024648a89e124c637c13dd5d9c9866a1ab0

How researchers see this paper

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

In Industrial and Manufacturing Engineering

1. Yew-Soon Ong
2. Kay Chen Tan
3. Abhishek Gupta
4. Liang Feng

In Management Science and Operations Research

1. Yew-Soon Ong
2. Kay Chen Tan
3. Abhishek Gupta
4. Liang Feng
5. Sergey Levine

Citations in the corpus

• Multiobjective Multifactorial Optimization in Evolutionary Multitasking (2017, background): “In other words, the chromosome y of an individual in Y is simply a vector of Dmultitask random-keys [36], [37].”
• Multifactorial Evolution: Toward Evolutionary Multitasking (2016, background): “The aforementioned observation was first made in [10], and has since led to notable interest among EA practitioners in the field of OR [33].”