Development of a knowledge-based model management system
Operations Research
Algorithms for Scheduling Imprecise Computations
Computer - Special issue on real-time systems
Optimal composition of real-time systems
Artificial Intelligence
On sensitivity analysis for a class of decision systems
Decision Support Systems
Genetic algorithms + data structures = evolution programs (3rd ed.)
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Decision Support Systems
Adaptive feedback scheduling of incremental and design-to-time tasks
ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
Genetic Algorithms in Search, Optimization and Machine Learning
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Decision Support Systems and Intelligent Systems
Decision Support Systems and Intelligent Systems
Recent Trends in Logistics and the Need for Real-Time Decision Tools in the Trucking Industry
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 3 - Volume 3
Model-driven decision support systems: Concepts and research directions
Decision Support Systems
Introduction to web services architecture
IBM Systems Journal
Model-free adaptive control design using evolutionary-neural compensator
Expert Systems with Applications: An International Journal
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The purpose of this paper is to develop a model selection method for time constrained decision problems. Usually there are many models in a decision support system (DSS), thus the model management system (MMS) is an important component of a DSS. In this paper, we study a DSS that offers competitive models with different levels of solution accuracy. The goodness of a model will be judged by its payoff value that involves the model solution accuracy and information costs. A Genetic Algorithm (GA) is used to find the maximum payoff value of a model, and the model with the best payoff value is selected for the target problem. We also propose a model selection system that is easy to implement with the help of web services technology.