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ORCIDSwarm and Evolutionary Computation, Volume 48
Volume 48, August 2019
- Farhad Soleimanian Gharehchopogh
, Hojjat Gholizadeh:
A comprehensive survey: Whale Optimization Algorithm and its applications. 1-24 - Xingsi Xue, Junfeng Chen:
Using Compact Evolutionary Tabu Search algorithm for matching sensor ontologies. 25-30 - Tonghua Zhang, Zong Woo Geem:
Review of harmony search with respect to algorithm structure. 31-43 - Michal Okulewicz, Jacek Mandziuk:
A metaheuristic approach to solve Dynamic Vehicle Routing Problem in continuous search space. 44-61 - Caitong Yue, Boyang Qu, Kunjie Yu, Jing J. Liang, Xiaodong Li:
A novel scalable test problem suite for multimodal multiobjective optimization. 62-71 - M. K. A. Ariyaratne, T. G. I. Fernando, Sunethra Weerakoon:
Solving systems of nonlinear equations using a modified firefly algorithm (MODFA). 72-92 - Anita, Anupam Yadav:
AEFA: Artificial electric field algorithm for global optimization. 93-108 - Maciej Laszczyk, Pawel B. Myszkowski:
Survey of quality measures for multi-objective optimization: Construction of complementary set of multi-objective quality measures. 109-133 - Yiwen Zhong, Lijin Wang, Min Lin, Hui Zhang:
Discrete pigeon-inspired optimization algorithm with Metropolis acceptance criterion for large-scale traveling salesman problem. 134-144 - Jean Paulo Martins, Alexandre C. B. Delbem:
Reproductive bias, linkage learning and diversity preservation in bi-objective evolutionary optimization. 145-155
- Yi-Nan Guo, Huan Yang, Meirong Chen, Jian Cheng, Dunwei Gong:
Ensemble prediction-based dynamic robust multi-objective optimization methods. 156-171 - Hong Wang, Lijing Tan, Ben Niu:
Feature selection for classification of microarray gene expression cancers using Bacterial Colony Optimization with multi-dimensional population. 172-181
- Songbai Liu, Qiuzhen Lin, Ka-Chun Wong, Lijia Ma, Carlos A. Coello Coello, Dunwei Gong:
A novel multi-objective evolutionary algorithm with dynamic decomposition strategy. 182-200 - Ladislav Peska, Tsegaye Misikir Tashu, Tomás Horváth:
Swarm intelligence techniques in recommender systems - A review of recent research. 201-219 - Javier Del Ser, Eneko Osaba, Daniel Molina, Xin-She Yang, Sancho Salcedo-Sanz, David Camacho, Swagatam Das, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera:
Bio-inspired computation: Where we stand and what's next. 220-250 - Yun Huang, Kai Wang, Kaizhou Gao, Ting Qu, Hong Liu:
Jointly optimizing microgrid configuration and energy consumption scheduling of smart homes. 251-261
- Santos Kumar Baliarsingh, Swati Vipsita, Khan Muhammad, Sambit Bakshi:
Analysis of high-dimensional biomedical data using an evolutionary multi-objective emperor penguin optimizer. 262-273
- Guoyu Chen, Junhua Li:
A diversity ranking based evolutionary algorithm for multi-objective and many-objective optimization. 274-287
- Xiwen Cai, Liang Gao, Xinyu Li, Haobo Qiu:
Surrogate-guided differential evolution algorithm for high dimensional expensive problems. 288-311 - Reginaldo Santos, Gilvan Borges, Adam Santos, Moisés Silva, Claudomiro Sales, João C. W. A. Costa:
Empirical study on rotation and information exchange in particle swarm optimization. 312-328 - Hemant Kumar Singh, Md. Monjurul Islam, Tapabrata Ray, Michael J. Ryan:
Nested evolutionary algorithms for computationally expensive bilevel optimization problems: Variants and their systematic analysis. 329-344
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