Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Evolutionary computation: toward a new philosophy of machine intelligence
Evolutionary computation: toward a new philosophy of machine intelligence
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Intelligent Control Systems Using Soft Computing Methodologies
Intelligent Control Systems Using Soft Computing Methodologies
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Advanced Methods in Neural Computing
Advanced Methods in Neural Computing
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In this paper, we attempt to run vulnerability analysis on the Bowl Championship Series (BCS) ranking system. We used Generalized Regression Neural Network (GRNN) to create a model for each poll and then applied these models to simulate a random season. After this, a modified genetic algorithm (GA) is applied to evolve schedules that minimize the difference between the number 2 ranked team and the number 3 ranked team. By simulating the seasons, we aim to show that current BCS system in fact converges faster than the proposed meta-BCS system.