Finding a feasible course schedule using Tabu search
Discrete Applied Mathematics - Special issue: Timetabling and chromatic scheduling
Auction allocation of computing resources
Communications of the ACM
An agent-based approach for building complex software systems
Communications of the ACM
Distributed constraint optimization for medical appointment scheduling
Proceedings of the fifth international conference on Autonomous agents
Job Shop Scheduling with Genetic Algorithms
Proceedings of the 1st International Conference on Genetic Algorithms
A Hybrid Genetic Algorithm for Highly Constrained Timetabling Problems
Proceedings of the 6th International Conference on Genetic Algorithms
Building University Timetables Using Constraint Logic Programming
Selected papers from the First International Conference on Practice and Theory of Automated Timetabling
A Memetic Algorithm for University Exam Timetabling
Selected papers from the First International Conference on Practice and Theory of Automated Timetabling
Extensions to a Memetic Timetabling System
Selected papers from the First International Conference on Practice and Theory of Automated Timetabling
Using Oz for College Timetabling
Selected papers from the First International Conference on Practice and Theory of Automated Timetabling
Selected Papers from AISB Workshop on Evolutionary Computing
A genetic algorithm for resource-constrained scheduling
A genetic algorithm for resource-constrained scheduling
Agent-Based Approach to Dynamic Meeting Scheduling Problems
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
A 0-1 goal programming model for nurse scheduling
Computers and Operations Research
Analyzing Market-Based Resource Allocation Strategies for the Computational Grid
International Journal of High Performance Computing Applications
Scheduling meetings through multi-agent negotiations
Decision Support Systems
Initialization strategies and diversity in evolutionary timetabling
Evolutionary Computation
A hybrid tabu search algorithm for automatically assigning patients to beds
Artificial Intelligence in Medicine
Automated negotiation with decommitment for dynamic resource allocation in cloud computing
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Expert Systems with Applications: An International Journal
Adaptive Appointment Systems with Patient Preferences
Manufacturing & Service Operations Management
Combinatorial Auction-Based Dynamic VM Provisioning and Allocation in Clouds
CLOUDCOM '11 Proceedings of the 2011 IEEE Third International Conference on Cloud Computing Technology and Science
CMRadar: a personal assistant agent for calendar management
AOIS'04 Proceedings of the 6th international conference on Agent-Oriented Information Systems II
Agent-based distributed manufacturing process planning and scheduling: a state-of-the-art survey
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A multistage evolutionary algorithm for the timetable problem
IEEE Transactions on Evolutionary Computation
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Compared with traditional manufacturing scheduling, service process scheduling poses additional challenges attributable to the significant customer involvement in service processes. In services, there are typically no inventoried products, which make the service provider's capacity more sensitive to dynamic changes. Service process scheduling objectives are also more complicated due to the consideration of customer preferences, customer waiting costs and human resource costs. After describing the Unified Services Theory and analysing its scheduling implications, this paper reviews the research literature on service process scheduling system design with a particular emphasis on agent-based approaches. Major issues in agent-based service process scheduling systems design are discussed and research opportunities are identified. The survey of the literature reveals that despite of many domain-specific designs in agent-based service process scheduling, there is a lack of general problem formulations, classifications, solution frameworks, and test beds. Constructing these general models for service process scheduling system design will facilitate the collaboration of researchers in this area and guide the effective development of integrated service process scheduling systems.