Chaos Pseudo Parallel Genetic Algorithm and Its Application on Fire Distribution Optimization

Analyzes the stochastic ergodicity and sensitivity of initial value of chaos model,proposes the chaos pseudo parallel genetic algorithm(CPPGA) based on multiple populations.Combines the parallel character of multiple population pseudo parallel evolution with inner stochastic character of chaos movement,applying different chaotic disturbance strategies,taking chaos' variable measure map mechanism into population initialization or middle populations fulfilled function optimization.Simulation results showed that CPPGA improved the convergence velocity and search probability of optimization solution,and got good optimization strategy for fire distribution.