CoCoMagic applies constrained cooperative co-evolution to metamorphic and differential testing to find up to 287% more distinct behavioral divergences in an end-to-end ADS than baseline search methods.
A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms
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QUIVER adaptively mixes objective evaluations with two types of preference queries in surrogate-assisted evolutionary multi-objective optimization to reduce final utility regret, reporting 25% gains on hard WFG benchmarks.
A tool combining full hydrodynamic modeling with a bespoke evolutionary algorithm to optimize blue-green infrastructure for reducing urban flood vulnerability at property scale.
CHAMB-GA provides a microservice architecture with containers and a message broker to decouple genetic operations from fitness evaluations, enabling consistent scaling from small machines to over 3500 CPU cores on cloud and HPC systems for optimization problems.
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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.