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Multiobjective optimization (MOO) is a useful tool when decisions must be made in the presence of trade-offs between two or more conflicting goals. Unlike single-objective optimization, which seeks a single optimal solution, MOO aims to find a set of Pareto optimal solutions. In the MOO framework, a solution is considered Pareto optimal if it excels in at least one criterion and cannot be improved in any criterion without worsening at least one other.

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Kriging-Based Multiobjective Structural Optimization

  • 动态工具书词条

  • 发表日期：

    2025年

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  • Marco Antonio Luersen,
  • Adriano Gonçalves dos Passos

摘要

Multiobjective optimization (MOO) is a useful tool when decisions must be made in the presence of trade-offs between two or more conflicting goals. Unlike single-objective optimization, which seeks a single optimal solution, MOO aims to find a set of Pareto optimal solutions. In the MOO framework, a solution is considered Pareto optimal if it excels in at least one criterion and cannot be improved in any criterion without worsening at least one other.