Black-box optimization benchmarking for noiseless function testbed using an EDA and PSO hybrid

This paper benchmarks an Estimation of Distribution Algorithm (EDA) and Particle Swarm Optimizer (PSO) on noisefree BBOB 2009 testbed. The algorithm is referred to as EDA-PSO and further enhanced with correlation-triggered adaptive variance scaling. Categories and Subject Descriptors

• Type: Conference
• Year: 2009
• Where: GECCO
• Authors: Mohammed El-Abd, Mohamed S. Kamel
• Keywords: Correlation-triggered Adaptive Variance, Distribution Algorithm, GECCO 2009, Optimization, Particle Swarm Optimizer