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
some alternatives for such situations. In this paper, the concept of addressing optimal
operations of Flexible Reconfigurable Networks (FRNs) with movable or changeable
resources is thoroughly presented. The methodology is represented in a symbolic-based
mathematical form by solving three FRN optimization problems using 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
resource. The implemented FRN examples demonstrate the efficacy of the proposed technique
and its strong capability in presenting many scenarios for system operation under movable
resources. The same approach can be extended for more general classes of FRNs when the
optimal solution could be expressed in the form of matrix representation and manipulation.
Application of the concept is demonstrated to a selected agricultural and irrigation systems.
Finally, the applications of the new FRN concept to real life systems in the area of electricity,
water, oil and gas, communication, computer, transportation, and service networks are
investigated