A tree-growth based ant colony algorithm for QoS multicast routing problem. - Hua Wang; Hong Xu; Shanwen Yi; Zhao Shi (Expert Syst. Appl., 2011)

An Ant Colony Algorithm for Aggregated Multicast Based on Clustering. - Shanwen Yi; Hua Wang; Rui Zhang (HPCC-ICESS, 2012)

An Energy-Aware Ant Colony Optimization Routing Algorithm in the Private Network. - Guohong Kong; Hua Wang; Fuqiang Huang; Shanwen Yi; Yaqing Wang 002 (HPCC/EUC, 2013)

Minimizing Energy Consumption with a CloneAnt-Based Routing Algorithm for Communication Network. - Yanqing Gao; Hua Wang; Runshui Zhu; Shanwen Yi; Chuangen Gao; Fuqiang Huang (HPCC/CSS/ICESS, 2015)

A Particle Swarm Optimization Algorithm for Controller Placement Problem in Software Defined Network. - Chuangen Gao; Hua Wang; Fangjin Zhu; Linbo Zhai; Shanwen Yi (ICA3PP (3), 2015)

NCPSO: A Solution of the Controller Placement Problem in Software Defined Networks. - Shuai Liu; Hua Wang; Shanwen Yi; Fangjin Zhu (ICA3PP (3), 2015)

Cost-Efficient and Scalable Multicast Tree in Software Defined Networking. - Shanshan Zhou; Hua Wang; Shanwen Yi; Fangjin Zhu (ICA3PP (2), 2015)

Energy Saving and Load Balancing for SDN Based on Multi-objective Particle Swarm Optimization. - Runshui Zhu; Hua Wang; Yanqing Gao; Shanwen Yi; Fangjin Zhu (ICA3PP (3), 2015)

Maximizing Network Utilization for SDN Based on WiseAnt Colony Optimization. - Shanwen Yi; Hua Wang; Xibo Yao; Chuangen Gao; Linbo Zhai (HPCC/SmartCity/DSS, 2016)

An Energy-Aware Ant Colony Algorithm for Network-Aware Virtual Machine Placement in Cloud Computing. - Chuangen Gao; Hua Wang; Linbo Zhai; Yanqing Gao; Shanwen Yi (ICPADS, 2016)

Optimizing Routing Rules Space through Traffic Engineering Based on Ant Colony Algorithm in Software Defined Network. - Chuangen Gao; Hua Wang; Linbo Zhai; Shanwen Yi; Xibo Yao (ICTAI, 2016)

Maximizing Network Utilization for SDN Based on Particle Swarm Optimization. - Xibo Yao; Hua Wang; Chuangen Gao; Shanwen Yi (ICTAI, 2016)

Energy-Aware VM Placement with Periodical Dynamic Demands in Cloud Datacenters. - Qian Zhang; Hua Wang; Fangjin Zhu; Shanwen Yi; Kang Feng; Linbo Zhai (HPCC/SmartCity/DSS, 2017)

Optimizing Concurrent Evacuation Transfers for Geo-Distributed Datacenters in SDN. - Xiaole Li; Hua Wang; Shanwen Yi; Xibo Yao; Fangjin Zhu; Linbo Zhai (ICA3PP, 2017)

Receiving-Capacity-Constrained Rapid and Fair Disaster Backup for multiple datacenters in SDN. - Xiaole Li; Hua Wang; Shanwen Yi; Xibo Yao (ICC, 2017)

Redundancy-Guaranteed and Receiving-Constrained Disaster Backup in Cloud Data Center Network. - Xiaole Li; Hua Wang; Shanwen Yi; Xibo Yao; Fangjin Zhu; Linbo Zhai (IEEE Access, 2018)

Disaster-and-Evacuation-Aware Backup Datacenter Placement Based on Multi-Objective Optimization. - Xiaole Li; Hua Wang; Shanwen Yi; Shuai Liu; Linbo Zhai; Chuanqi Jiang (IEEE Access, 2019)

Cost-efficient disaster backup for multiple data centers using capacity-constrained multicast. - Xiaole Li; Hua Wang; Shanwen Yi; Linbo Zhai (Concurr. Comput. Pract. Exp., 2019)

Progressive Forwarding Disaster Backup among Cloud Datacenters. - Xiaole Li; Hua Wang; Shanwen Yi; Linbo Zhai (IEICE Trans. Inf. Syst., 2019)

Multi-objective Disaster Backup in Inter-datacenter Using Reinforcement Learning. - Jiaxin Yan; Hua Wang; Xiaole Li; Shanwen Yi; Yao Qin (WASA (1), 2020)

Virtual machine placement based on multi-objective reinforcement learning. - Yao Qin; Hua Wang; Shanwen Yi; Xiaole Li; Linbo Zhai (Appl. Intell., 2020)

An energy-aware scheduling algorithm for budget-constrained scientific workflows based on multi-objective reinforcement learning. - Yao Qin; Hua Wang; Shanwen Yi; Xiaole Li; Linbo Zhai (J. Supercomput., 2020)

A multi-objective reinforcement learning algorithm for deadline constrained scientific workflow scheduling in clouds. - Yao Qin; Hua Wang; Shanwen Yi; Xiaole Li; Linbo Zhai (Frontiers Comput. Sci., 2021)

Energy-aware disaster backup among cloud datacenters using multiobjective reinforcement learning in software defined network. - Shanwen Yi; Xiaole Li; Hua Wang; Yao Qin; Jiaxin Yan (Concurr. Comput. Pract. Exp., 2022)