Mohammed El-Abd
Mohamed S. Kamel
ABSTRACT
This paper benchmarks the particle swarm optimizer with adaptive bounds algorithm (PSO Bounds) on the noisefree BBOB 2009 testbed. The algorithm is further augmented with a simple re-initialization mechanism that is invoked if the bounds tend to overlap.
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Digital Library
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Index Terms
- Black-box optimization benchmarking for noiseless function testbed using PSO_bounds
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