Evaluation of the effectiveness of multi-agent algorithms for solving performance optimization problems of a cathodic protection system of a main gas pipeline
Substantiation is given for the use of multi-agent stochastic search algorithms to solve the formalized problem of optimizing parameter values of cathodic protection stations of main gas pipelines. Proposals for primary initialization of initial sets of agents in the genetic algorithm and the particle swarm method for solving the formalized problem are formulated. The parameters of the particle swarm method were determined experimentally and the time for solving problems of various dimensions was estimated.