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Zeitschrift

Memetic Computing

Memetic Computing 3/2019

Ausgabe 3/2019

Inhaltsverzeichnis ( 9 Artikel )

07.08.2019 | Editorial | Ausgabe 3/2019

Editorial

Meng-Hiot Lim

07.05.2019 | Regular Research Paper | Ausgabe 3/2019

Birds foraging search: a novel population-based algorithm for global optimization

Zhuoran Zhang, Changqiang Huang, Kangsheng Dong, Hanqiao Huang

06.04.2019 | Regular Research Paper | Ausgabe 3/2019

OMNIREP: originating meaning by coevolving encodings and representations

Moshe Sipper, Jason H. Moore

28.06.2018 | Regular Research Paper | Ausgabe 3/2019

Class-specific cost-sensitive boosting weighted ELM for class imbalance learning

Bhagat Singh Raghuwanshi, Sanyam Shukla

09.02.2019 | Regular Research Paper | Ausgabe 3/2019

A multi-level knee point based multi-objective evolutionary algorithm for AUC maximization

Jianfeng Qiu, Minghui Liu, Lei Zhang, Wei Li, Fan Cheng

16.07.2018 | Regular Research Paper | Ausgabe 3/2019

A performance bound of the multi-output extreme learning machine classifier

Di Wang, Ping Wang, Junzhi Shi

13.07.2018 | Regular Research Paper | Ausgabe 3/2019

A unified distributed ELM framework with supervised, semi-supervised and unsupervised big data learning

Zhiqiong Wang, Luxuan Qu, Junchang Xin, Hongxu Yang, Xiaosong Gao

29.06.2018 | Regular Research Paper | Ausgabe 3/2019

An improved differential evolution algorithm for optimization including linear equality constraints

Helio J. C. Barbosa, Heder S. Bernardino, Jaqueline S. Angelo

04.06.2019 | Technical Commentary | Ausgabe 3/2019

Letter: New best known solution for the most difficult QAP instance “tai100a”

Alfonsas Misevičius

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