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		题名	作者	年代	出处	被引量
	1	A fast adaptive memetic algorithm for online and offline control design of PMSM drives 显示文摘	Andrea Caponio Giuseppe Leonardo Cascella Ferrante Neri	2007	IEEE Transactions on Systems Man and Cybernetics Part B: Cybernetics (S1083-4419)2007，37，1：	1
	2	Memetic algorithms and memetic computing optimization: A literature review显示文摘	Ferrante Neri Carlos Cotta	2011	Swarm and Evolutionary Computation2011，，：	1
	3	A Fast Adaptive Memetic Algorithm for Online and Offline Control Design of PMSM Drives 显示文摘	Andrea Caponio Giuseppe Leonardo Cascella Ferrante Neri Nadia Salvatore Mark Sumner	2007	IEEE Transactions on Systems Man and Cybernetics-Part B: Cybernetics2007，37，1：	1
	4	A study on scale factor in distributed differential evolution显示文摘	Matthieu Weber Ferrante Neri Ville Tirronen		0，，12：	1
	5	A Fast Adaptive Memetic Algorithm for Online and Office Control Design of Pmsm Drives显示文摘	Andrea Caponio Giuseppe Leonardo Cascella Ferrante Neri		0，，：	1
	6	Super- fit control adaptation in memetic differential evolution frameworks显示文摘	Caponio Andrea Neri Ferrante TirronenI Ville	2009	Soft Computing2009，13，89：	1
	7	Compact Differential Evolution Light: High Performance Despite Limited Memory Requirement and Modest Computational Overhead显示文摘Compact algorithms are Estimation of Distribution Algorithms which mimic the behavior of population-based algorithms by means of a probabilistic representation of the population of candidate solutions. These algorithms have a similar behaviour with respect to population-based algorithms but require a much smaller memory. This feature is crucially important in some engineering applications, especially in robotics. A high performance compact algorithm is the compact Differential Evolution (cDE) algorithm. This paper proposes a novel implementation of cDE, namely compact Differential Evolution light (cDElight), to address not only the memory saving necessities but also real-time requirements. cDElight employs two novel algorithmic modifications for employing a smaller computational overhead without a performance loss, with respect to cDE. Numerical results, carried out on a broad set of test problems, show that cDElight, despite its minimal hardware requirements, does not deteriorate the performance of cDE and thus is competitive with other memory saving and population-based algorithms. An application in the field of mobile robotics highlights the usability and advantages of the proposed approach.	Giovanni Iacca Fabio Caraffini Ferrante Neri	2012	Journal of Computer Science & Technology2012，27，5：	0
	8	Cross-Validation of a Mobile N20 Flux Prototype (IPNOA) Using Micrometeorological and Chamber Methods显示文摘	Patricia Laville Simone Neri David Continanza Luca Ferrante Vero Simona Bosco Giorgio Virgili	2015	Journal of Energy and Power Engineering2015，9，4：	0

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