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Shuo Qin

A hybrid biogeography-based optimization with variable neighborhood search mechanism for no-wait flow shop scheduling problem
2019 · Fuqing Zhao, Shuo Qin, et al. · Expert Systems with Applications · 86
A two-stage differential biogeography-based optimization algorithm and its performance analysis
2018 · Fuqing Zhao, Shuo Qin, et al. · Expert Systems with Applications · 79
Reliability-Aware Multi-Objective Memetic Algorithm for Workflow Scheduling Problem in Multi-Cloud System
2023 · Shuo Qin, Dechang Pi, et al. · IEEE Transactions on Parallel and Distributed Systems · 69
A factorial based particle swarm optimization with a population adaptation mechanism for the no-wait flow shop scheduling problem with the makespan objective
2019 · Fuqing Zhao, Shuo Qin, et al. · Expert Systems with Applications · 44
Hybrid collaborative multi-objective fruit fly optimization algorithm for scheduling workflow in cloud environment
2021 · Shuo Qin, Dechang Pi, et al. · Swarm and Evolutionary Computation · 41
An Angle-Based Bi-Objective Optimization Algorithm for Redundancy Allocation in Presence of Interval Uncertainty
2022 · Yue Xu, Dechang Pi, et al. · IEEE Transactions on Automation Science and Engineering · 33
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A Knowledge-Based Adaptive Discrete Water Wave Optimization for Solving Cloud Workflow Scheduling
2021 · Shuo Qin, Dechang Pi, et al. · IEEE Transactions on Cloud Computing · 30
A Differential-Based Harmony Search Algorithm With Variable Neighborhood Search for Job Shop Scheduling Problem and Its Runtime Analysis
2018 · Fuqing Zhao, Shuo Qin, et al. · IEEE Access · 27
A Dynamic Optimization Framework for Computation Rate Maximization in UAV-Assisted Mobile Edge Computing
2025 · Yang Chen, Dechang Pi, et al. · IEEE Transactions on Vehicular Technology · 25
AILS: A budget-constrained adaptive iterated local search for workflow scheduling in cloud environment
2022 · Shuo Qin, Dechang Pi, et al. · Expert Systems with Applications · 22
A Cluster-Based Cooperative Co-Evolutionary Algorithm for Multiobjective Workflow Scheduling in a Cloud Environment
2022 · Shuo Qin, Dechang Pi, et al. · IEEE Transactions on Automation Science and Engineering · 19
A reinforcement learning-based multi-objective optimization in an interval and dynamic environment
2023 · Yue Xu, Yuxuan Song, et al. · Knowledge-Based Systems · 13
A collaborative multi-objective meta-heuristic for deadline-constrained multi-workflows scheduling in cloud environment
2024 · Shuo Qin, Zhongshi Shao · Engineering Applications of Artificial Intelligence · 9
A Discrete Interval-Based Multi-Objective Memetic Algorithm for Scheduling Workflow With Uncertainty in Cloud Environment
2022 · Shuo Qin, Dechang Pi, et al. · IEEE Transactions on Network and Service Management · 8
A Two-Stage Learning-Driven Many-Objective Memetic Algorithm for Solving the Workflow Scheduling Problem in Cloud Environment
2025 · Shuo Qin, Dechang Pi, et al. · IEEE Transactions on Services Computing · 5
Knowledge-based multi-objective estimation of distribution algorithm for solving reliability constrained cloud workflow scheduling
2023 · Ming Li, Dechang Pi, et al. · Cluster Computing · 5
Collaboration and competition in trending topics: A fractional dynamic evolutionary perspective
2026 · Pengfei Wan, Shaowei Sun, et al. · Information Processing & Management
Works count: 17
Citation count: 515
H-index: 12
I10-index: 12
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