Research And Application Of Co-evolution Algorithm

Co-evolution is a research focus in the field of swarm intelligence algorithmin recent years, and Chinese and foreign scholars have conducted extensive studieson it. Based on the full research literature, the efficiency mechanisms, andinformation-exchange ways, and topology structure, and applications ofco-evolution, were all studied in this paper, and got some results as follows.(1) A new artificial fish hybridized particle swarm optimization algorithmwas proposed. The new algorithm makes use of the complementarities of artificialfish swarm algorithm and particle swarm optimization algorithm, allows full playto the co-evolutionary algorithm's characteristics that is beneficial to mix thecharacteristics of different algorithms. The results of experiments showed that thenew algorithm convergence speed and had more precision characteristics;(2) Two new models of information-sharing topology structures, networkinformation sharing model and multi-group multi-layer information sharing model,were proposed. Compared with previous models, these models have moreadvantages in combining the different search mechanisms and the different searchmethods with the mechanisms of co-evolutionary, and they provide a new idea andnew methods for solving problem;(3) The second collaboration of information exchange mechanisms that is anew information exchange mechanisms based on co-evolutionary, was proposed.By turning information exchange only among populations into informationexchange among the individual genome, it brought about the combination of macroand micro in sharing co-evolutionary information;(4) The application field of co-evolutionary algorithm was extended.Co-evolutionary algorithm was applied to chemical parameter estimationoptimization, constrained optimization, butene alkylation processoptimization, circle packing in this paper, and it developed a new directionfor the applications of co-evolutionary algorithm...