In this communication an on-line approach, based on two optimization modules, for the solution of the airline Revenue Management problem is proposed.
The implementation of the models is based on Escript which is a Python module for the solution of partial differential equations (PDEs) using spatial discretization techniques such as FEM.
Parallel operation of inverter modules is the solution to increase the reliability, efficiency, and redundancy of inverters in microgrids.
The module builds on top of the solution provided for the known Santa Fe Bar Problem (SFBP).
Another main advantage stays on the experience retrieval module built in top of the solution, allowing easy access to expertise, knowledge and best practices generated by previous projects, so that they can be readily incorporated in the design of new processes as a factor of knowledge sustainability.
Architecture of the solution consists of three modules, preprocessing module, SVM module and PSO module.
This module recommends the solution satisfying the objective of high utility and low privacy according to the preferred region selected by a user, as shown in Fig. 13.
Some part of the rich solution permeates the membrane to the permeate side (low pressure side, shell side) and other part of the solution leaves the module from its top and then it is supplied to the top of the shell side, where the absorbed gas is stripped from the rich solution and recovered as enriched ethylene.
The module, in which the carrier solution permeated the membrane at the upper part of the module, had higher performance than the module in which the solution permeated at the lower part.
The module, in which the solution did not permeate the membrane, also had high performance although a large gas liquid separator was needed downstream of the module.
The n-in-p bulk technology represents a valid solution for the modules of most of the layers, given the significant radiation hardness of this option and the reduced cost.
