Seismic Exploration Attribute Optimization Based on Multi-Agent Parallel Genetic Algorithm
多Agent并行遗传算法在地震勘探属性优化中的应用

The method of design and implementation for parallel genetic algorithm is based on thick grain,with the multi-Agent combined with genetic evolution technology,to optimize the seismic attribution selection.A multi-Agent system includes two kinds of Agents:N-Agent and M-Agent,they can exchange the useful information which can represent the current situation of evolution.The methods are benefit to improve the performance of parallel genetic algorithm,and to raise the searching efficiency of the parallel geneti...