针对粒子群优化算法易出现早熟收敛的问题,提出了基于Lotka-Volterra模型的双群协同竞争粒子群优化算法(LVPSO).LVPSO算法借鉴种群生态学中著名的Lotka-Volterra双群协同竞争模型,讨论了两种种群协同竞争方案,通过群内和群间竞争增加粒子的多样性,提高了种群摆脱局部极值的能力.对5个典型基准测试函数进行优化实验表明,LVPSO在收敛速度和优化精度方面均有良好的表现. To overcome the premature convergence problem in particle swarm optimization algorithm, a two-group cooperative competitive particle swarm optimization (LVPSO) algorithm based on Lotka-Volterra model is proposed.LVPSO algorithm draws on the famous Lotka-Volterra double-group cooperative competition model in population ecology, This paper discusses two kinds of cooperative programs of population competition, which increase the ability of the population to get rid of the local extremum by increasing the diversity of particles through the intra-group and inter-group competition.Optimization experiments of five typical benchmark functions show that, Accuracy has a good performance.