31 Жовтень, 2022

L Міжнародна науково-практична інтернет-конференція

  • Информационные системы поддержки принятия решений (ИС ППР) находят все более широкое применение в банковской сфере, которая в последние годы развивается масштабно и динамично.


      G.B. Issayeva, A.K. Sugirbekova, F.D. Nametkulova (Almaty) |    Завантажити статтю |  Link

    A swarm is a large number of homogenous, simple agents interacting locally among themselves, and their environment, with no central control to allow a global interesting behavior to emerge. Swarm-based algorithms have recently emerged as a family of nature-inspired, population-based algorithms that are capable of producing low cost, fast, and robust solutions to several complex problems. Swarm Intelligence (SI) can therefore be defined as a relatively new branch of Artificial Intelligence that is used to model the collective behavior of social swarms in nature, such as ant colonies, honey bees, and bird flocks. Although these agents (insects or swarm individuals) are relatively unsophisticated with limited capabilities on their own, they are interacting together with certain behavioral patterns to cooperatively achieve tasks necessary for their survival. The social interactions among swarm individuals can be either direct or indirect. Examples of direct interaction are through visual or audio contact, such as the waggle dance of honey bees. Indirect interaction occurs when one individual changes the environment and the other individuals respond to the new environment, such as the pheromone trails of ants that they deposit on their way to search for food sources. More specifically, this paper discusses one of the most popular models of swarm intelligence inspired by bees’ behavior.