Q-Learning-Based Hyperheuristic Evolutionary Algorithm for Dynamic Task Allocation of Crowdsensing
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Q-Learning-Based Hyperheuristic Evolutionary Algorithm for Dynamic Task Allocation of Crowdsensing
Authors
Keywords
-
Journal
IEEE Transactions on Cybernetics
Volume 53, Issue 4, Pages 2211-2224
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2021-10-05
DOI
10.1109/tcyb.2021.3112675
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Evolutionary multi-task allocation for mobile crowdsensing with limited resource
- (2021) Jianjiao Ji et al. Swarm and Evolutionary Computation
- An evolutionary fuzzy scheduler for multi-objective resource allocation in fog computing
- (2020) Chu-ge Wu et al. Future Generation Computer Systems-The International Journal of eScience
- Evolutionary hyper-heuristic for solving the strip-packing problem
- (2019) Daniel Domović et al. JOURNAL OF THE TEXTILE INSTITUTE
- Personalized Privacy-Preserving Task Allocation for Mobile Crowdsensing
- (2019) Zhibo Wang et al. IEEE TRANSACTIONS ON MOBILE COMPUTING
- MOEA/D-based participant selection method for crowdsensing with social awareness
- (2019) Jianjiao Ji et al. APPLIED SOFT COMPUTING
- A genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem
- (2019) Jian Lin et al. EXPERT SYSTEMS WITH APPLICATIONS
- HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing
- (2019) Jiangtao Wang et al. IEEE TRANSACTIONS ON MOBILE COMPUTING
- An Efficient Prediction-Based User Recruitment for Mobile Crowdsensing
- (2018) En Wang et al. IEEE TRANSACTIONS ON MOBILE COMPUTING
- Multi-Task Allocation in Mobile Crowd Sensing with Individual Task Quality Assurance
- (2018) Jiangtao Wang et al. IEEE TRANSACTIONS ON MOBILE COMPUTING
- A Q-learning-based memetic algorithm for multi-objective dynamic software project scheduling
- (2018) Xiao-Ning Shen et al. INFORMATION SCIENCES
- Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues
- (2018) Oscar Alvear et al. SENSORS
- A hyper-heuristic with two guidance indicators for bi-objective mixed-shift vehicle routing problem with time windows
- (2018) Binhui Chen et al. APPLIED INTELLIGENCE
- Parallel Hyper-Heuristic Algorithm for Multi-objective Route Planning in a Smart City
- (2018) Yuan Yao et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- An artificial bee colony algorithm with a Modified Choice Function for the traveling salesman problem
- (2018) Shin Siang Choong et al. Swarm and Evolutionary Computation
- Task Allocation in Mobile Crowd Sensing: State of the Art and Future Opportunities
- (2018) Jiangtao Wang et al. IEEE Internet of Things Journal
- Location-Dependent Task Allocation for Mobile Crowdsensing with Clustering Effect
- (2018) IEEE Internet of Things Journal
- A Bio-Inspired Self-Learning Coevolutionary Dynamic Multiobjective Optimization Algorithm for Internet of Things Services
- (2018) Zhen Yang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns
- (2017) Yuyan Han et al. IEEE Transactions on Cybernetics
- ActiveCrowd: A Framework for Optimized Multitask Allocation in Mobile Crowdsensing Systems
- (2017) Bin Guo et al. IEEE Transactions on Human-Machine Systems
- A Tabu Search hyper-heuristic strategy for t-way test suite generation
- (2016) Kamal Z. Zamli et al. APPLIED SOFT COMPUTING
- Fine-Grained Multitask Allocation for Participatory Sensing With a Shared Budget
- (2016) Jiangtao Wang et al. IEEE Internet of Things Journal
- Automatic Design of a Hyper-Heuristic Framework With Gene Expression Programming for Combinatorial Optimization Problems
- (2015) Nasser R. Sabar et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Energy-Efficient Crowdsensing of Human Mobility and Signal Levels in Cellular Networks
- (2015) Paweł Foremski et al. SENSORS
- A Dynamic Multiarmed Bandit-Gene Expression Programming Hyper-Heuristic for Combinatorial Optimization Problems
- (2015) Nasser R. Sabar et al. IEEE Transactions on Cybernetics
- A hyper-heuristic based framework for dynamic optimization problems
- (2014) Haluk Rahmi Topcuoglu et al. APPLIED SOFT COMPUTING
- Opportunities in mobile crowd sensing
- (2014) Huadong Ma et al. IEEE COMMUNICATIONS MAGAZINE
- QoI-Aware Multitask-Oriented Dynamic Participant Selection With Budget Constraints
- (2014) Zheng Song et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- A graph coloring constructive hyper-heuristic for examination timetabling problems
- (2011) Nasser R. Sabar et al. APPLIED INTELLIGENCE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search