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Found 3 papers, 1 papers with code
The Influence of Local Search over Genetic Algorithms with Balanced Representations
We continue the study of Genetic Algorithms (GA) on combinatorial optimization problems where the candidate solutions need to satisfy a balancedness constraint.
Tip the Balance: Improving Exploration of Balanced Crossover Operators by Adaptive Bias
Experiments show that improving the exploration of the search space with this adaptive bias strategy is beneficial for the GA performances in terms of the number of optimal solutions found for the balanced nonlinear Boolean functions problem.
Balanced Crossover Operators in Genetic Algorithms
Furthermore, in two out of three crossovers, the "left-to-right" version performs better than the "shuffled" version.
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