ORACLE Oracle的优化器共有两种的优化方式,即: 基于规则的优化方式(Rule-Based Optimization,RBO) 基于代价的优化方式(Cost-Based Optimization,CBO) RBO方式：优化器.
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ORACLE Oracle的优化器共有两种的优化方式,即: 基于规则的优化方式(Rule-Based Optimization,RBO) 基于代价的优化方式(Cost-Based Optimization,CBO) RBO方式：优化器.
基于4个网页-相关网页
ORACLE Oracle的优化器共有两种的优化方式,即: 基于规则的优化方式(Rule-Based Optimization,RBO) 基于代价的优化方式(Cost-Based Optimization,CBO) RBO方式：优化器.
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优化器有基于代价的优化（Cost．Based Optimization，CBO）和基于规则的优化（Rule-Based Optimization，RBO）［16-i7】，Oracle的109版本之后取消了RBO。
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The optimization problem was solved by differential evolution and the constraints were handled by feasibility-based rule.
利用差分进化算法求解该优化问题，并利用可行性规则处理约束。
Based on the requirements of processing a large sale of rules, a maintenance and optimization method of a large rule network was proposed.
基于各种海量规则信息处理的需求，提出了海量规则网的维护与优化的基本方法。
For the problem of rule extraction in text categorization, a novel rule extraction approach to text categorization based on multi-population collaborative optimization was proposed.
针对文奉分类中的规则抽取问题，提出一种基于多种群协同优化的文奉分类规则抽取方法。
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