The results show clearly that the proposed algorithm is effective as well as efficient for the complex high-dimensional optimization problems.
测试结果表明，新算法对复杂的高维优化问题可行有效。
The M-elite coevolutionary algorithm (MECA) is proposed for high-dimensional unconstrained numerical optimization problems based on the concept of coevolutionary algorithm and elitist strategy.
本文在其基础上考虑了每个零部件的需求量不同所带来的影响，提出了一种基于精英策略和自适应性的混合遗传算法。
The M-elite coevolutionary algorithm (MECA) is proposed for high-dimensional unconstrained numerical optimization problems based on the concept of coevolutionary algorithm and elitist strategy.
本文在其基础上考虑了每个零部件的需求量不同所带来的影响，提出了一种基于精英策略和自适应性的混合遗传算法。
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