An approach for stock buying with evolutionary optimization algorithms

Providing stock buying with more profit for buyer is challenging procedure in operation. In other words, buyers expect less cost. Many influence parameters cause this being attractive. One of them liquidity. There are some measurements With complete and detailed model variables the static environment (with no changing conditions), we can use common approach optimization to buy proper stocks, but a dynamic (which many circumstances changed) incomplete models noisy (probably), approaches cannot satisfy all requirements. spite optimization, Evolutionary Optimization Algorithms. paper, three evolutionary algorithms (Particle Swarm Optimization, The Wale algorithm Worm algorithm), multi-objective mode, used stocks Iranian banks then benefits weakness compared.