Title | ||
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Tip the Balance: Improving Exploration of Balanced Crossover Operators by Adaptive Bias |
Abstract | ||
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The use of balanced crossover operators in Genetic Algorithms (GA) ensures that the binary strings generated as offsprings have the same Hamming weight of the parents, a constraint which is sought in certain discrete optimization problems. Although this method reduces the size of the search space, the resulting fitness landscape often becomes more difficult for the GA to explore and to discover op... |
Year | DOI | Venue |
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2021 | 10.1109/CANDARW53999.2021.00046 | 2021 Ninth International Symposium on Computing and Networking Workshops (CANDARW) |
Keywords | DocType | ISBN |
Genetic algorithms,crossover operators,boolean functions,balancedness,nonlinearity | Conference | 978-1-6654-2835-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Luca Manzoni | 1 | 488 | 55.19 |
Luca Mariot | 2 | 47 | 11.35 |
Tuba Eva | 3 | 0 | 0.34 |