Genetic algorithm optimizes parameters of multi-agent flocking models to match user-defined objectives, with alignment emerging from spacing maintenance.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
A pedagogical review of hydrodynamic and dynamic RG approaches to nonequilibrium universality classes uncovered since 2015 in active and living matter.
citing papers explorer
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EvoFlock: evolved inverse design of multi-agent motion
Genetic algorithm optimizes parameters of multi-agent flocking models to match user-defined objectives, with alignment emerging from spacing maintenance.
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Hydrodynamics, Renormalization Group, and Universality Classes Far from Equilibrium
A pedagogical review of hydrodynamic and dynamic RG approaches to nonequilibrium universality classes uncovered since 2015 in active and living matter.