• 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 16 matches

• 2024
• 
  Yaping Fu, Xiaomeng Ma, Kaizhou Gao, Hongfeng Wang, Ali Sadollah, L. Y. Chen:
  Multi-objective migrating birds optimization for solving stochastic home health care routing and scheduling problems considering caregiver working time constraints. Swarm Evol. Comput. 85: 101484 (2024)
• 
  Lukás Klein, Ivan Zelinka, David Seidl:
  Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm. Swarm Evol. Comput. 85: 101487 (2024)
• 
  Han Li, Genghui Li, Qiaoyong Jiang, Jiashu Wang, Zhenkun Wang:
  MOEA/D with customized replacement neighborhood and dynamic resource allocation for solving 3L-SDHVRP. Swarm Evol. Comput. 85: 101463 (2024)
• 
  Jing Liu, Ruhul A. Sarker, Saber M. Elsayed, Daryl Essam, Nurhadi Siswanto:
  Large-scale evolutionary optimization: A review and comparative study. Swarm Evol. Comput. 85: 101466 (2024)
• 
  Xi Long, Weiwei Cai, Leping Yang, Huan Huang:
  Improved particle swarm optimization with reverse learning and neighbor adjustment for space surveillance network task scheduling. Swarm Evol. Comput. 85: 101482 (2024)
• 
  Cong Luo, Wenyin Gong, Fei Ming, Chao Lu:
  A Q-learning memetic algorithm for energy-efficient heterogeneous distributed assembly permutation flowshop scheduling considering priorities. Swarm Evol. Comput. 85: 101497 (2024)
• 
  Xuemin Ma, Jingming Yang, Hao Sun, Ziyu Hu, Lixin Wei:
  Double-space environmental change detection and response strategy for dynamic multi-objective optimize problem. Swarm Evol. Comput. 85: 101468 (2024)
• 
  Xiangrui Meng, Ying Tan:
  Multi-guiding spark fireworks algorithm: Solving multimodal functions by multiple guiding sparks in fireworks algorithm. Swarm Evol. Comput. 85: 101458 (2024)
• 
  Xoán C. Pardo, Patricia González, Julio R. Banga, Ramón Doallo:
  Population based metaheuristics in Spark: Towards a general framework using PSO as a case study. Swarm Evol. Comput. 85: 101483 (2024)
• 
  Shichen Tian, Chunjiang Zhang, Jiaxin Fan, Xinyu Li, Liang Gao:
  A genetic algorithm with critical path-based variable neighborhood search for distributed assembly job shop scheduling problem. Swarm Evol. Comput. 85: 101485 (2024)
• 
  Tonghao Wang, Xingguang Peng, Tao Wang, Tong Liu, Demin Xu:
  Automated design of action advising trigger conditions for multiagent reinforcement learning: A genetic programming-based approach. Swarm Evol. Comput. 85: 101475 (2024)
• 
  Luona Wei, Ming Chen, Lining Xing, Qian Wan, Yanjie Song, Yuning Chen, Yingwu Chen:
  Knowledge-transfer based genetic programming algorithm for multi-objective dynamic agile earth observation satellite scheduling problem. Swarm Evol. Comput. 85: 101460 (2024)
• 
  Yinghong Xie, Junhua Li, Yufei Li, Wenhao Zhu, Chaoqing Dai:
  Two-stage evolutionary algorithm with fuzzy preference indicator for multimodal multi-objective optimization. Swarm Evol. Comput. 85: 101480 (2024)
• 
  Zhengpei Zhang, Yaping Fu, Kaizhou Gao, Hui Zhang, Lei Wang:
  A cooperative evolutionary algorithm with simulated annealing for integrated scheduling of distributed flexible job shops and distribution. Swarm Evol. Comput. 85: 101467 (2024)
• 
  Sheng Xin Zhang, Xin Rou Hu, Shao Yong Zheng:
  Differential evolution with evolutionary scale adaptation. Swarm Evol. Comput. 85: 101481 (2024)
• 
  Zeyu Zhang, Zhongshi Shao, Weishi Shao, Jianrui Chen, Dechang Pi:
  MRLM: A meta-reinforcement learning-based metaheuristic for hybrid flow-shop scheduling problem with learning and forgetting effects. Swarm Evol. Comput. 85: 101479 (2024)