Abstract: A codon optimization method based on an immune algorithm is characterized in that an immune algorithm and a genetic algorithm are successively used to respectively perform local multi-objective optimization and global multi-objective optimization on a protein coding sequence, and then an exhaustive method is used to perform fine adjustment and optimization on the sequence, so as to search the optimal expression sequence to the greatest extent. The present invention not only retains the characteristic of random global parallel search of the genetic algorithm, but also avoids premature convergence to a comparatively great extent to ensure rapid convergence to the global optimal solution.

Abstract: This invention relates to an embedding structure of parallel-program created by software and a call of parallel-program. The parallel-program relates to the “sequence-net” in the prior art in the view of programs and includes N+1 parallel-program branch program modules and (data) token structure. Based on a single machine environment of this invention, parallel-program is transformed into a type of structure of parallel-program branch program run in time division mode. Three subroutines for reading data, writing data, and making the consistency for data in the branch programs realize the processing of suspension and ready status of parallel-program branch programs. The running of branch programs is managed by time-division-managing module. An execution process of parallel-program data sequence supports the parallel operations and the embedding of parallel-program modules. The parallel-program structure simplifies the modular structure of time division and produces the resources of N+1th branch program.

Abstract: A homogeneous multi-computer system comprises a system bus with a system data bus for transmitting data and a system management bus for transmitting system management signals, and a plurality of cell-computers having identical architecture and being connected to the system bus.