Coevolutionary genetic algorithm for solving complex problems of constrained optimization

Coevolutionary algorithm of constrained optimization with automatic tuning of parameters is considered. The process of development and results of effectiveness investigation are described. The algorithm effectiveness is illustrated on the task of aircrafts' landing scheduling.