Parameterized bijective transformations on the search space of multi-objective test functions create new benchmark variants that preserve Pareto structure and measurably alter algorithm performance.
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A tool combining full hydrodynamic modeling with a bespoke evolutionary algorithm to optimize blue-green infrastructure for reducing urban flood vulnerability at property scale.
A replicator-type dynamic on the standard simplex for feature weights from a normalized data matrix converges globally to a unique interior equilibrium.
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Exploration of Pareto-preserving Search Space Transformations in Multi-objective Test Functions
Parameterized bijective transformations on the search space of multi-objective test functions create new benchmark variants that preserve Pareto structure and measurably alter algorithm performance.
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Optimising Urban Flood Resilience
A tool combining full hydrodynamic modeling with a bespoke evolutionary algorithm to optimize blue-green infrastructure for reducing urban flood vulnerability at property scale.
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Feature weighting for data analysis via evolutionary simulation
A replicator-type dynamic on the standard simplex for feature weights from a normalized data matrix converges globally to a unique interior equilibrium.