Optimizing scheduling is an effective way to improve the profit of refineries; it usually requires accurate models to describe the complex and nonlinear refining processes. However, conventional nonlinear models will result in a complex mixed integer nonlinear programming (MINLP) problem for scheduling. This paper presents a piecewise linear (PWL) modeling approach, which can describe global no...

This contribution presents a numerical evaluation of the impact of parallelization on the performance of an evolutionary algorithm for mixed-integer nonlinear programming (MINLP). On a set of 200 MINLP benchmarks the performance of the MIDACO solver is assessed with gradually increasing parallelization factor from one to three hundred. The results demonstrate that the efficiency of the algorith...

Details about the movement of trucks on postal express lines are investigated to improve the performances of mail distribution. A mixed driving pattern of trucks is introduced to minimize the transportation cost of a postal express line network with a service level requirement. We formulate this problem as a mixed p meeting depots location with shipment scheduling problem and build a MINLP mode...

The problem of reactive power compensation in electric distribution networks is addressed this research paper from the point view combinatorial optimization using a new discrete-continuous version vortex search algorithm (DCVSA). To explore and exploit solution space, codification vector proposed, where discrete part determines nodes static compensator (D-STATCOM) will be installed, continuous ...

The problem of the optimal placement and dimensioning constant power sources (i.e., distributed generators) in electrical direct current (DC) distribution networks has been addressed this research from point view convex optimization. original mixed-integer nonlinear programming (MINLP) model transformed into a conic equivalent via second-order cone programming, which produces MI-SOCP approximat...

Employment of unmanned aerial vehicles (UAVs) or drones as swarms coordinating nodes offers multiple advantages for commercial well military applications. However, the complex communication requirements these swarms, coupled with high data rates advanced UAV payloads, require innovative techniques optimizing throughput. Channel capacity being key resource, optimum architecture and network topol...

This paper presents a mixed-integer nonlinear programming (MINLP) model for performing structural and parameter optimization of utility plants that satisfy given electrical, mechanical and heating demands of industrial processes. In this model a nonlinear objective function that accounts for the cost of equipment and operation is minimized. The proposed approach allows for the simultaneous opti...