A particle swarm optimization algorithm inspired by Lotka-Volterra model(LVPSO) is proposed to avoid the
premature convergence problem. The famous Lotka-Volterra model in ecology is introduced into basic particle swarm
optimization algorithm, and two different cooperative-competitive schemes are discussed. The diversity of particles are
increased by intraspecific and interspecific competition, and the ability of particles breaking away from the local extremum
is improved remarkably. The experimental results show that the proposed LVPSO algorithm can converge in higher speed
and higher precision by optimizing five typical benchmark functions.