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ORCIDSwarm and Evolutionary Computation, Volume 39
Volume 39, April 2018
- Sedigheh Mahdavi, Shahryar Rahnamayan, Kalyanmoy Deb:
Opposition based learning: A literature review. 1-23 - Nandar Lynn, Mostafa Z. Ali
, Ponnuthurai Nagaratnam Suganthan:
Population topologies for particle swarm optimization and differential evolution. 24-35 - Okkes Ertenlice, Can Berk Kalayci:
A survey of swarm intelligence for portfolio optimization: Algorithms and applications. 36-52 - Karol R. Opara, Jaroslaw Arabas:
Comparison of mutation strategies in Differential Evolution - A probabilistic perspective. 53-69 - Marco S. Nobile, Paolo Cazzaniga, Daniela Besozzi, Riccardo Colombo, Giancarlo Mauri, Gabriella Pasi:
Fuzzy Self-Tuning PSO: A settings-free algorithm for global optimization. 70-85 - Jia-Jun Wang:
Parameter optimization and speed control of switched reluctance motor based on evolutionary computation methods. 86-98 - Manoj Kumawat, Nitin Gupta, Naveen Jain, Ramesh C. Bansal:
Optimal planning of distributed energy resources in harmonics polluted distribution system. 99-113 - Ashfaq Ahmed, Q. Khan, Muhammad Naeem, Muhammad Iqbal, Alagan Anpalagan, Muhammad Awais:
An insight to the performance of estimation of distribution algorithm for multiple line outage identification. 114-122 - Sara Khanchi, Ali Vahdat, Malcolm I. Heywood, Nur Zincir-Heywood:
On botnet detection with genetic programming under streaming data label budgets and class imbalance. 123-140 - Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan:
Ensemble of parameters in a sinusoidal differential evolution with niching-based population reduction. 141-156 - Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin, Kalyanmoy Deb:
3D-RadVis Antenna: Visualization and performance measure for many-objective optimization. 157-176 - Lijia Ma, Maoguo Gong, Jianan Yan, Wenfeng Liu, Shanfeng Wang:
Detecting composite communities in multiplex networks: A multilevel memetic algorithm. 177-191 - Pawel Plawiak:
Novel genetic ensembles of classifiers applied to myocardium dysfunction recognition based on ECG signals. 192-208 - Yonggang Chen, Lixiang Li, Haipeng Peng, Jinghua Xiao, Qingtao Wu:
Dynamic multi-swarm differential learning particle swarm optimizer. 209-221 - Radhia Azzouz, Slim Bechikh, Lamjed Ben Said, Walid Trabelsi:
Handling time-varying constraints and objectives in dynamic evolutionary multi-objective optimization. 222-248 - Saúl Domínguez-Isidro, Efrén Mezura-Montes:
A cost-benefit local search coordination in multimeme differential evolution for constrained numerical optimization problems. 249-266 - Enrico De Santis, Antonello Rizzi, Alireza Sadeghian:
A cluster-based dissimilarity learning approach for localized fault classification in Smart Grids. 267-278 - Mingchang Chih:
Three pseudo-utility ratio-inspired particle swarm optimization with local search for multidimensional knapsack problem. 279-296 - Shadi Rahimi, Alireza Abdollahpouri, Parham Moradi:
A multi-objective particle swarm optimization algorithm for community detection in complex networks. 297-309 - Wenbo Dong, Kang Zhou, Huaqing Qi, Cheng He, Jun Zhang:
A tissue P system based evolutionary algorithm for multi-objective VRPTW. 310-322 - Sara Silva, Leonardo Vanneschi, Ana I. R. Cabral, Maria José Alves do Rio Perestrelo de Vasconcelos:
A semi-supervised Genetic Programming method for dealing with noisy labels and hidden overfitting. 323-338 - Jianping Luo, Yun Yang, Xia Li, Qiqi Liu, Min-Rong Chen, Kaizhou Gao:
A decomposition-based multi-objective evolutionary algorithm with quality indicator. 339-355
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