Adapting Operator Probabilities in Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Assessing the impacts of South-to-North Water Transfer Project with decision support systems
Decision Support Systems
Flood decision support system on agent grid: method and implementation
Enterprise Information Systems
On the principle of design of resilient systems-application to enterprise information systems
Enterprise Information Systems - Resilient Enterprise Information Systems
A framework for investigation into extended enterprise resilience
Enterprise Information Systems - Resilient Enterprise Information Systems
Architectural design for resilience
Enterprise Information Systems - Resilient Enterprise Information Systems
Modelling dependable collaborative time-constrained business processes
Enterprise Information Systems - Resilient Enterprise Information Systems
Measurement of resilience and its application to enterprise information systems
Enterprise Information Systems - Resilient Enterprise Information Systems
Improving productivity and firm performance with enterprise resource planning
Enterprise Information Systems
Intelligent bionic genetic algorithm (IB-GA) and its convergence
Expert Systems with Applications: An International Journal
Structure of Multi-Stage Composite Genetic Algorithm (MSC-GA) and its performance
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An Integrated Approach for Agricultural Ecosystem Management
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
R-AIMS: a reactive multi-agent system-based incident/emergency management system
International Journal of Computational Intelligence Studies
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One of the most important ways for promoting the service level during emergency management in public sectors is through enhancing management of strategic resources. From the perspective of vertical integration of operational process in emergency management, emergency resources can be classified as those resources used during the response period as well as those resources that are consumed during the recovery period. An inter-temporal integrated single-period resource model for solving optimal order quantity is proposed that meets the characteristics during the demand for the recovery resources depending on the stock shortage of the response resources. In the light of the classification of the dependent relationship of the two kinds of resources, namely deterministic or stochastic, the research investigates the analytical properties of the model, based on which, a genetic algorithm-based simulation approach is proposed. Finally, a real case with numerical example is provided to assess and validate our model, as well as managerial insights are obtained through key parameters sensitivity analysis.