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Activity Number: 149
Type: Contributed
Date/Time: Monday, August 4, 2008 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #302469
Title: Coevolution of Multivariate Optimal Allocations and Stratum Boundaries
Author(s): Charles Day*+
Companies: Internal Revenue Service
Address: P. O. Box 2608, Washington, DC, 20013,
Keywords: Stratified Sampling ; Genetic Algorithm ; Evolutionary Algorithm ; Convex Optimization
Abstract:

Coevolution in evolutionary algorithms allows solutions to two interdependent optimization problems to be determined simultaneously, similar to the evolution of symbiotic species in nature. There are many methods for determining multivariate optimal allocations in stratified sampling, including the use of an evolutionary algorithm (Day, 2006). There are also widely accepted methods for determining optimal stratum boundaries. This work presents a method for simultaneous determination of multivariate optimal allocations and stratum boundaries using the concept of coevolution in evolutionary algorithms.

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Revised September, 2008