Methods for multi-objective optimization using evolutionary algorithms
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United States of America Patent
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Apr 22, 2008
Grant Date -
Jul 25, 2002
app pub date -
Nov 9, 2001
filing date -
Nov 14, 2000
priority date (Note) -
Expired
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Abstract
In the field of multi-objective optimization using evolutionary algorithms conventionally different objectives are aggregated and combined into one objective function using a fixed weight when more than one objective needs to be optimized. With such a weighted aggregation, only one solution can be obtained in one run. Therefore, according to the present invention two methods to change the weights systematically and dynamically during the evolutionary optimization are proposed. One method is to assign uniformly distributed weight to each individual in the population of the evolutionary algorithm. The other method is to change the weight periodically when the evolution proceeds. In this way a full set of Pareto solutions can be obtained in one single run.
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