Abstract: As an example, we benchmark the Particle Swarm Optimization algorithm with a Differential Evolution
on the noisefree Black Box Optimization Benchmark 2010 testbed. Each candidate solution is sampled uniformly
in −5, 5 D , where D denotes the search space dimension, and the evolution is performed with a classical PSO
algorithm and a classical DE/x/1 algorithm according to a random threshold. The maximum number of function
evaluations is chosen as 105 times the search space dimension. This paper shows how to evaluate the
performance of a given optimization algorithm a using the BBOB 2010.
Keywords: Benchmarking, Black-box optimization, Direct search, Evolutionary computation, Particle Swarm
Optimizacin, Differential Evolution
Categories: G.1.6 Numerical Analysis: Optimization-global optimization, unconstrained optimization ;
F.2.1 Analysis of Algorithms and Problem Complexity: Numerical Algorithms and Problems.
Link:
BENCHMARK OF PSO-DE USING BBOB 2010
Nuria Gómez Blas, Luis F. de Mingo
http://foibg.com/ibs_isc/ibs-18/ibs-18-p01.pdf
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