A stochastic gradient flow on particle swarms driven by a softmin energy approximation converges to global minima for strongly convex functions and exhibits faster hitting times between wells than overdamped Langevin dynamics.
Particle swarm optimization
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FAmv modifies the Firefly Algorithm with a unified hybrid distance for mixed continuous-discrete spaces and matches or exceeds state-of-the-art methods on CEC2013 benchmarks and engineering problems.
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Global Optimization via Softmin Energy Minimization
A stochastic gradient flow on particle swarms driven by a softmin energy approximation converges to global minima for strongly convex functions and exhibits faster hitting times between wells than overdamped Langevin dynamics.
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A Firefly Algorithm for Mixed-Variable Optimization Based on Hybrid Distance Modeling
FAmv modifies the Firefly Algorithm with a unified hybrid distance for mixed continuous-discrete spaces and matches or exceeds state-of-the-art methods on CEC2013 benchmarks and engineering problems.