Most types of networks depend on fixed resources
in their configuration, but these fixed resources are not
effective, especially in the case of a problem in any of these
resources. This may lead to a defect in the entire network until
the problem is resolved and therefore there must be an
alternative to replace the fixed resources in such cases. In this
paper, the concept of addressing optimal operations of flexible
reconfigurable networks with movable and changeable
resources is thoroughly presented. The methodology is
represented in a mathematical form by solving the
optimization problems of quadratic programming, nonlinear
programming and multi-objective programming.
Implementation of the proposed technique is carried out to
several illustrative examples with a single or multiple movable
symbolic-based resources. The implemented examples
demonstrate the efficacy of the proposed technique and its
strong capability in presenting many scenarios for system
operation under movable resources. Finally, the applications of
the new concept could be extended to real life systems of the
electricity, water, oil and gas, communication, computer,
transportation, and service networks.