A novel algorithm is proposed to deal with both unconstrained and constrained numerical optimization problems.
针对数值优化问题，提出了组织进化数值优化算法。
Hence, constrained multiobjective and constrained numerical optimization problems are done in this thesis based on double populations.
基于双群体搜索机制分别对约束多目标优化问题和约束单目标优化问题进行了研究。
This work improves the capability of representing and dealing with data and extends the range of solving numerical optimization problems in DNA computing.
该工作可提高DNA计算中表示和处理数值的能力，扩展DNA计算求解最优化问题的范围。
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