A new approach to particle swarm optimization algorithm
The new base algorithm and two new different result algorithms are proposed. New mechanisms of algorithm operation are discussed. Lack of influence of environment functions is presented. Lack of stagnation  overexploitation initiates exploration. The algorithm work is characterized by a low cost.
co-evolutionary systems pso algorithm predatorprey algorithm immune algorithm optimization method games artificial intelligence entropy multifractal analysis