The research fruits of this paper mainly including 4 parts: Firstly, proposed a GrC-based rough set model; secondly, proposed a GrC-based knowledge discovery algorithm; the third, proposed a GrC-based engineering modeling algorithm; and the last, the GrC-based Artificial Selection Algorithm (ASA).

Through analysing the orientation and results between natural selection and artificial selection, this paper indicated that both selections result in competition for the existence of the natural population, and in improving economic yield of the artificial population, respectively, and orientations of both selections are colony superority for artifical popula tion, and individual supe.

To detect response of main-effect QTL(M-QTL) in mapping populations to artificial selection,stably expressed M-QTL was identified from backcross inbred lines in Teqing background(TQ-BIL) in Beijing and Hainan.

Research on Selection Algorithm in Hybrid Branch Prediction;

The randomized selection algorithm presented by Hoare can make the expectation of the times of comparing less than 4n.

Then a sleep mode selection algorithm to meet the requirement of energy consumption and delay performance by using Markov decision processes was made.

Algorithms Selection for Fault Tree Analysis Based on Neural Networks;

The concurrent proccessing technique for expert systems of optimization modelling and algorithms selection which is a key part in the design of the intelligent optimization software system(IOPS) was introduced.

Peer selection algorithm based on Traceroute;

Fault Detection Based on the Negative Selection Algorithm;

In order to occupy more coverage of the non-self space using fewer detectors,a new negative selection algorithm based on incremental rectangle detectors is proposed.

Hierarchy match strategy(HMS) is proposed to decrease the time complexity of negative selection algorithm.