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Symmetry Breaking in Population-Based Optimization
This paper argues that the performance of evolutionary algorithms working on hard optimisation problems depends strongly on how the population breaks the 'symmetry' of the search space. The splitting of the search space into widely separate regions containing local optima is a generic property of a
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