Abstract
The present paper describes an implementation of genetic search methods in multicriterion optimal designs of structural systems with a mix of continuous, integer and discrete design variables. Two distinct strategies to simultaneously generate a family of Pareto optimal designs are presented in the paper. These strategies stem from a consideration of the natural analogue, wherein distinct species of life forms share the available resources of an environment for sustenance. The efficacy of these solution strategies are examined in the context of representative structural optimization problems with multiple objective criteria and with varying dimensionality as determined by the number of design variables and constraints.
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Hajela, P., Lin, C.Y. Genetic search strategies in multicriterion optimal design. Structural Optimization 4, 99–107 (1992). https://doi.org/10.1007/BF01759923
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DOI: https://doi.org/10.1007/BF01759923