Javier Apolloni

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In this work we evaluate a Particle Swarm Optimizer hybridized with Differential Evolution and apply it to the Black-Box Optimization Benchmarking for noisy functions (BBOB 2009). We have performed the complete procedure established in this special session dealing with noisy functions with dimension: 2, 3, 5, 10, 20, and 40 variables. Our proposal obtained(More)
In this work we evaluate a Particle Swarm Optimizer hybridized with Differential Evolution and apply it to the Black-Box Optimization Benchmarking for noiseless functions (BBOB 2009). We have performed the complete procedure established in this special session dealing with noiseless functions with dimension: 2, 3, 5, 10, 20, and 40 variables. Our proposal(More)
This paper presents a new distributed Differential Evolution (dDE) algorithm and provides an exhaustive evaluation of it by using two standard benchmarks. One of them was proposed in the special session of Real-Parameter Optimization of CEC'05, and the other was proposed in the special session of Large Scale Global Optimization of CEC'08. We statistically(More)
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