The Researching Mode Based on Generating Self-optimization of Global Optimization

The Researching Mode Based on Generating Self-optimization of Global Optimization

A method of global optimizing power generation is introduced in this paper. Under the condition of maintaining the same working hours of different units, electricity quantity generated between the different power suppliers is equal in one province, and it is also fulfilling the primary electricity schedule with a secure stable power system and low emission. This method is capable of minimizing ...

Generating Accurate Rule Sets Without Global Optimization

The two dominant schemes for rule learning C and RIPPER both operate in two stages First they induce an initial rule set and then they re ne it using a rather com plex optimization stage that discards C or adjusts RIPPER individual rules to make them work better together In con trast this paper shows how good rule sets can be learned one rule at a time with out any need for global optimization ...

Global Optimization Strategies for Two-Mode Clustering∗

Two-mode clustering is a relatively new form of clustering that clusters both rows and columns of a data matrix. To do so, a criterion similar to k -means is optimized. However, it is still unclear which optimization method should be used to perform two-mode clustering, as various methods may lead to non-global optima. This paper reviews and compares several optimization methods for two-mode cl...

the role of task-based techniques on the acquisition of english language structures by the intermediate efl students

this study examines the effetivenss of task-based activities in helping students learn english language structures for a better communication. initially, a michigan test was administered to the two groups of 52 students majoring in english at the allameh ghotb -e- ravandi university to ensure their homogeneity. the students scores on the grammar part of this test were also regarded as their pre...

Value-based global optimization