The Proportional Genetic Algorithm: Gene Expression in a Genetic Algorithm
Genetic Programming and Evolvable Machines
Revising Engineering Models: Combining Computational Discovery with Knowledge
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Evolving Finite-State Machine Strategies for Protecting Resources
ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
Evolution of strategies for resource protection problems
Advances in evolutionary computing
Machine Learning
Path planning on a cuboid using genetic algorithms
Information Sciences: an International Journal
Mining typical patterns from databases
Information Sciences: an International Journal
Top-down mining of frequent closed patterns from very high dimensional data
Information Sciences: an International Journal
Qualitative Chance Discovery - Extracting competitive advantages
Information Sciences: an International Journal
Information Sciences: an International Journal
A hybrid model based on rough sets theory and genetic algorithms for stock price forecasting
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
The effect of vaccinations in an immigrant model
Mathematical and Computer Modelling: An International Journal
Information Sciences: an International Journal
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We present a framework for modeling the spread of pathogens throughout a population and generating policies that minimize the impact of those pathogens on the population. This framework is used to study the spread of human viruses between cities via airplane travel. It combines agent-based simulation, mathematical analysis, and an Evolutionary Algorithm (EA) optimizer. The goal of this study is to develop tools that determine the optimal distribution of a vaccine supply in the model. Using plausible benchmark vaccine allocation policies of uniform and proportional distribution, we compared their effectiveness to policies found by the EA. We then designed and tested a new, more effective policy which increased the importance of vaccinating smaller cities that are flown to more often. This ''importance factor'' was validated using US influenza data from the last four years.