• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 278 matches

• 2021
• 
  Xiaoyu Li, Lei Wang, Qiaoyong Jiang, Ning Li:
  Differential evolution algorithm with multi-population cooperation and multi-strategy integration. Neurocomputing 421: 285-302 (2021)
• 
  Mahboub Baccouch, Helmi Temimi, Mohamed Ben-Romdhane:
  A discontinuous Galerkin method for systems of stochastic differential equations with applications to population biology, finance, and physics. J. Comput. Appl. Math. 388: 113297 (2021)
• 
  Andrew Lowy, Meisam Razaviyayn:
  Output Perturbation for Differentially Private Convex Optimization with Improved Population Loss Bounds, Runtimes and Applications to Private Adversarial Training. CoRR abs/2102.04704 (2021)
• 2020
• 
  Noorbakhsh Amiri Golilarz, Mirpouya Mirmozaffari, Tayyebeh Asgari Gashteroodkhani, Liaqat Ali, Hamidreza Ahady Dolatsara, Azam Boskabadi, Mohammad Yazdi:
  Optimized Wavelet-Based Satellite Image De-Noising With Multi-Population Differential Evolution-Assisted Harris Hawks Optimization Algorithm. IEEE Access 8: 133076-133085 (2020)
• 
  Yongjie Ma, Yulong Bai:
  A multi-population differential evolution with best-random mutation strategy for large-scale global optimization. Appl. Intell. 50(5): 1510-1526 (2020)
• 
  Reza Vafashoar, Mohammad Reza Meybodi:
  A multi-population differential evolution algorithm based on cellular learning automata and evolutionary context information for optimization in dynamic environments. Appl. Soft Comput. 88: 106009 (2020)
• 
  Jiajing Xie, Yang Xu, Haifeng Chen, Meirong Chi, Jun He, Meifeng Li, Hui Liu, Jie Xia, Qingzhou Guan, Zheng Guo, Haidan Yan:
  Identification of population-level differentially expressed genes in one-phenotype data. Bioinform. 36(15): 4283-4290 (2020)
• 
  Yongjie Ma, Lin Zhu, Yulong Bai:
  Improved Multi-Population Differential Evolution for Large-Scale Global Optimization. Comput. Informatics 39(3): 481-509 (2020)
• 
  Nasim Muhammad, Hermann J. Eberl:
  Two routes of transmission for Nosema infections in a honeybee population model with polyethism and time-periodic parameters can lead to drastically different qualitative model behavior. Commun. Nonlinear Sci. Numer. Simul. 84: 105207 (2020)
• 
  Zhenyu Meng, Jeng-Shyang Pan, Wei-min Zheng:
  Differential evolution utilizing a handful top superior individuals with bionic bi-population structure for the enhancement of optimization performance. Enterp. Inf. Syst. 14(2): 221-242 (2020)
• 
  Hao Chen, Ali Asghar Heidari, Huiling Chen, Mingjing Wang, Zhifang Pan, Amir H. Gandomi:
  Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies. Future Gener. Comput. Syst. 111: 175-198 (2020)
• 
  Dhanya M. Dhanalakshmy, M. S. Akhila, C. R. Vidhya, G. Jeyakumar:
  Improving the search efficiency of differential evolution algorithm by population diversity analysis and adaptation of mutation step sizes. Int. J. Adv. Intell. Paradigms 15(2): 119-145 (2020)
• 
  Wei Li, Yaochi Fan, Qingzheng Xu:
  Evolutionary Multimodal Optimization Based on Bi-Population and Multi-Mutation Differential Evolution. Int. J. Comput. Intell. Syst. 13(1): 1345-1367 (2020)
• 
  Jing-Zhong Wang, Tsung-Ying Sun:
  Control the Diversity of Population with Mutation Strategy and Fuzzy Inference System for Differential Evolution Algorithm. Int. J. Fuzzy Syst. 22(6): 1979-1992 (2020)
• 
  A. V. Sedelnikov, E. S. Khnyryova:
  Estimate of parameters changing of the Lymantria dispar artificial population in different environmental conditions using the quasispecies model. Int. J. Model. Simul. Sci. Comput. 11(5): 2050053:1-2050053:11 (2020)
• 
  Myoung-Hoon Lee, Jun Moon:
  Partially-observed decentralized optimal control for large population two-wheeled vehicles: A differential game approach. J. Frankl. Inst. 357(9): 5248-5276 (2020)
• 
  Zhangwei Li, Liujing Wang:
  基于群体分布的自适应差分进化算法 (Population Distribution-based Self-adaptive Differential Evolution Algorithm). 计算机科学 47(2): 180-185 (2020)
• 
  Lin Zhu, Yongjie Ma, Yulong Bai:
  A self-adaptive multi-population differential evolution algorithm. Nat. Comput. 19(1): 211-235 (2020)
• 
  Naoki Matsuda, Ken-ichi Hironaka, Masashi Fujii, Takumi Wada, Katsuyuki Kunida, Haruki Inoue, Miki Eto, Daisuke Hoshino, Yasuro Furuichi, Yasuko Manabe, Nobuharu L. Fujii, Hiroyuki Noji, Hiromi Imamura, Shinya Kuroda:
  Monitoring and mathematical modeling of mitochondrial ATP in myotubes at single-cell level reveals two distinct population with different kinetics. Quant. Biol. 8(3): 228-237 (2020)
• 
  Naghmeh Akhavan, James A. Yorke:
  Population Collapse in Elite-Dominated Societies: A Differential Equations Model without Differential Equations. SIAM J. Appl. Dyn. Syst. 19(3): 1736-1757 (2020)
• 
  Mahua Rakshit, Subhankar Bhattacharjee, Gautam Garai, Amlan Chakrabarti:
  A Novel Distributive Population-Based Differential Evolution Algorithm for SLM Scheme to Reduce PAPR in Massive MIMO-OFDM Systems. SN Comput. Sci. 1(5): 292 (2020)
• 
  Marilena Di Carlo, Massimiliano Vasile, Edmondo A. Minisci:
  Adaptive multi-population inflationary differential evolution. Soft Comput. 24(5): 3861-3891 (2020)
• 
  Xiaoqiu Shi, Wei Long, Yanyan Li, Ding-shan Deng, Yong-lai Wei:
  Research on the performance of multi-population genetic algorithms with different complex network structures. Soft Comput. 24(17): 13441-13459 (2020)
• 
  Pei-Qiu Huang, Yong Wang, Kezhi Wang, Kun Yang:
  Differential Evolution With a Variable Population Size for Deployment Optimization in a UAV-Assisted IoT Data Collection System. IEEE Trans. Emerg. Top. Comput. Intell. 4(3): 324-335 (2020)
• 
  Rui Zhang, Kevin G. Stanley, Daniel Fuller, Scott Bell:
  Differentiating Population Spatial Behavior Using Representative Features of Geospatial Mobility (ReFGeM). ACM Trans. Spatial Algorithms Syst. 6(1): 2:1-2:25 (2020)
• 
  Daichi Azuma, Yoshikazu Fukuyama, Akihiro Oi, Toru Jintsugawa, Hisashi Fujimoto:
  Dependable Parallel Multi-population Global-best Brain Storm Optimization with Differential Evolution strategies for Distribution System State Estimation using Just-in-time Modeling and Correntropy in Power Systems. CEC 2020: 1-8
• 
  Pratyusha Rakshit, Archana Chowdhury, Amit Konar, Atulya K. Nagar:
  Migration in Multi-Population Differential Evolution for Many Objective Optimization. CEC 2020: 1-8
• 
  Xin Zhang, Zhi-Hui Zhan, Jun Zhang:
  Adaptive Population Differential Evolution with Dual Control Strategy for Large-Scale Global optimization Problems. CEC 2020: 1-7
• 
  Stephan C. D. Dobri, Dawa Samdup, Stephen H. Scott, T. Claire Davies:
  Differentiating Motor Coordination and Position Sense in Children with Cerebral Palsy and Typically Developing Populations Through Robotic Assessments^*. EMBC 2020: 3654-3657
• 
  Davneet S. Minhas, Zixi Yang, John Muschelli, Charles M. Laymon, Joseph M. Mettenburg, Matthew D. Zammit, Sterling C. Johnson, Chester A. Mathis, Ann D. Cohen, Benjamin L. Handen, William E. Klunk, Ciprian M. Crainiceanu, Bradley T. Christian, Dana L. Tudorascu:
  Statistical Methods for Processing Neuroimaging Data from Two Different Sites with a Down Syndrome Population Application. IPMU (3) 2020: 367-379

skipping 248 more matches