Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
From Recombination of Genes to the Estimation of Distributions I. Binary Parameters
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
An application of EDA and GA to dynamic pricing
Proceedings of the 9th annual conference on Genetic and evolutionary computation
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Knowledge-Based Systems
Neural network demand models and evolutionary optimisers for dynamic pricing
Knowledge-Based Systems
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This paper describes an applied research work that looks at different ways to effectively manage resources. Particularly, it describes how revenue management techniques can be used to balance demand against capacity, and describes a system that uses different OR and AI techniques to intelligently price diverse products and services. This system can produce pricing policies for wide range of products and services regardless of the model of demand used. The system incorporates a model specification layer, which provides flexibility in defining the demand model for different products. It also incorporates an optimisation layer, which takes the specified model as an input and produces the pricing and production guidelines for the product. The system can be either used as a stand alone system or can be incorporated as a generic modelling and optimisation component within a larger revenue management system.