MOGA：多目标遗传算法

“多目标遗传算法”（Multi-Objective Genetic Algorithm，常缩写为MOGA）是一种高效处理复杂优化问题的计算方法，广泛应用于医学研究尤其是人类基因组数据分析等领域。该缩写形式简化了书写与交流流程，便于科研人员在处理涉及多个优化目标的问题时快速引用和使用。

Multi Objective Genetic Algorithm具体释义

  • 英文缩写：MOGA
  • 英语全称：Multi Objective Genetic Algorithm
  • 中文意思：多目标遗传算法
  • 中文拼音：duō mù biāo yí chuán suàn fǎ
  • 相关领域： moga 人类基因组

Multi Objective Genetic Algorithm的英文发音

例句

  1. In view of the limitations of traditional methods for solving multi objective optimization problems, the Pareto multi objective genetic algorithm for multi objective programming problem is proposed.
  2. 针对传统的多目标优化方法的局限性，提出用于多目标规划问题求解的Pareto多目标遗传算法(MOGA)。
  3. Since a group of Pareto trade-off solutions can be obtained by multi objective genetic algorithm ( MOGA ) in a single run, many researchers become interested in MOGA.
  4. 由于多目标遗传算法(MOGA)能够通过一次运行找到一组多目标优化问题的Pareto折衷解，所以受到了国内外众多研究者的广泛关注。
  5. A new hybrid lexicographically stratified programming mechanism was proposed, it combined multi objective with genetic algorithm.
  6. 将传统分层多目标优化的方法和遗传算法相结合，提出了一种新的多目标优化方法。
  7. This paper proposes a multi objective optimal strategy based on Genetic Algorithm ( GA ) to improve filter design performance. It takes the original investment, the capacity of reactive power compensation and the harmonic distortion as three objectives.
  8. 将无源滤波器的初期投资、无功功率补偿容量、滤波后电网谐波含量作为三个目标，利用遗传算法对无源滤波器的参数进行优化设计。
  9. The Pareto genetic algorithm is modified to solve the engineering problems of the aerodynamic shape optimization of reentry body. The comparison of the traditional multi objective optimization methods with the Pareto genetic algorithm is also shown.
  10. 本文采用多目标遗传算法(MOGA)来确定再入飞行器气动布局优化问题的Pareto最优解集，并和传统的多目标优化方法（加权和方法、约束法）进行比较。

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