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Found 2 papers, 1 papers with code
Memetic Viability Evolution for Constrained Optimization
The performance of evolutionary algorithms can be heavily undermined when constraints limit the feasible areas of the search space.
Optimizing groups of colluding strong attackers in mobile urban communication networks with evolutionary algorithms
This new type of configuration, however, poses new challenges to security, amongst them, assessing the effect that a group of colluding malicious participants can have on the global message delivery rate in such a network is far from trivial.
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