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[IEEE 1999. Congress on Evolutionary Computation-CEC99 - Washington, DC, USA (6-9 July 1999)] Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406) - Particle swarm optimiser with neighbourhood operator

نوع: Journal Paper

نویسنده : Suganthan, P.N.

سال: 1999

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Niching-based Self-adaptive Ensemble DE with MMTS for solving dynamic optimization problems

نوع: Conference Paper

نویسنده : Hui, S. , Suganthan, P.N.

ناشر: IEEE

سال: 2014

Towards generating random forests via extremely randomized trees

نوع: Conference Paper

نویسنده : Le Zhang , Ye Ren , Suganthan, P.N.

ناشر: IEEE

سال: 2014

Empirical mode decomposition based adaboost-backpropagation neural network method for wind speed forecasting

نوع: Conference Paper

نویسنده : Ren, Y.; Qiu, X.; Suganthan, P.N.

ناشر: IEEE

سال: 2014

Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization

نوع: Journal Paper

نویسنده : Qin, A.K.; Huang, V.L.; Suganthan, P.N.

سال: 2009

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Swarm, evolutionary, and memetic computing : first International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2010, Chennai, India, December 16-18, 2010 : proceedings

نوع: Ebook

نویسنده : Panigrahi B.K.; Das S.; Suganthan P.N.; Dash S.S. (eds.)

ناشر: Springer

سال: 2010

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An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization

نوع: Journal Paper

نویسنده : Islam, S.M.; Das, S.; Ghosh, S.; Roy, S.; Suganthan, P.N.

سال: 2012

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Comprehensive learning particle swarm optimizer for global optimization of multimodal functions

نوع: Journal Paper

نویسنده : Liang, J.J.; Qin, A.K.; Suganthan, P.N.; Baskar, S.

ناشر: IEEE

سال: 2006

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Ensemble deep learning for regression and time series forecasting

نوع: Conference Paper

نویسنده : Qiu, X.; Zhang, L.; Ren, Y.; Suganthan, P.N.; Amaratunga, G.

ناشر: IEEE

سال: 2014

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[IEEE 1999. Congress on Evolutionary Computation-CEC99 - Washington, DC, USA (6-9 July 1999)] Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406) - Particle swarm optimiser with neighbourhood operator

Niching-based Self-adaptive Ensemble DE with MMTS for solving dynamic optimization problems

Towards generating random forests via extremely randomized trees

Empirical mode decomposition based adaboost-backpropagation neural network method for wind speed forecasting

Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization

Swarm, evolutionary, and memetic computing : first International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2010, Chennai, India, December 16-18, 2010 : proceedings

An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization

Comprehensive learning particle swarm optimizer for global optimization of multimodal functions

Ensemble deep learning for regression and time series forecasting

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[IEEE 1999. Congress on Evolutionary Computation-CEC99 - Washington, DC, USA (6-9 July 1999)] Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406) - Particle swarm optimiser with neighbourhood operator

Niching-based Self-adaptive Ensemble DE with MMTS for solving dynamic optimization problems

Towards generating random forests via extremely randomized trees

Empirical mode decomposition based adaboost-backpropagation neural network method for wind speed forecasting

Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization

Swarm, evolutionary, and memetic computing : first International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2010, Chennai, India, December 16-18, 2010 : proceedings

An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization

Comprehensive learning particle swarm optimizer for global optimization of multimodal functions

Ensemble deep learning for regression and time series forecasting