A Proton Exchange Membrane Fuel Cell (PEMFC) provides stable, emission-free, high-efficiency power. Water management and durability of PEMFCs are directly affected by transport phenomena at the cathode side. In present study, investigated optimized in a tapered parallel flow field. Main channels field tapered, which increases limiting current density 41%. Two objectives, i.e. water saturation r...

Abstract This paper investigates the performance of four multi-objective optimization algorithms, namely non-dominated sorting genetic algorithm II (NSGA-II), particle swarm (MOPSO), strength Pareto evolutionary (SPEA2), and multi-verse (MVO), in developing an optimal reinforced concrete cantilever (RCC) retaining wall. The wall design was based on two major requirements: geotechnical stability...

Finite-set model predictive control (FS-MPC) as current (PCC) is considered an exciting option for the stator of multiphase machines due to their flexibility and easy inclusion constraints. The weighting factors (WFs) PCC must be tuned variables interest, such machine losses <tex-math nota...

The purpose of this paper is to present the extended version of the conventional DEED to overcome the ramp rate violations when its optimal solutions for one period (normally one day) are implemented repeatedly and periodically over consequent dispatch periods to meet the periodic load demands. This dynamic dispatch problem, which is referred to as EDEED, is a multi-objective optimization probl...

This paper presents a systematic procedure for the optimization of machining parameters such as cutting speed, feed rate, nose radius, edge radius, and rake angle to reduce specific material removal energy and improve energy efficiency in the hard turning of AISI 4140 steel. A simulation approach was applied in conjunction with the design of experiment (DOE), mathematical approximation with a m...

The aim os this paper is to study the hybridization of two multi-objective algorithms in the context of a real problem, the MANETs problem. The algorithms studied are Particle Swarm Optimization (MOPSO) and a new multiobjective algorithm based in the combination of NSGA-II with Evolution Strategies (ESN). This work analyzes the improvement produced by hybridization over the Pareto’s fronts comp...

Connecting mobile devices with the cloud, suffers from high network latency and the huge transmission power consumption. Main obstacle for today’s mobile devices is lack of resource, and requires increasing the processing power of device, increasing memory capacity, a need for greater durability of the battery etc. Cloudlets can provide available resources to nearby mobile devices with lower ac...

This paper focuses on obtaining an optimal speed trajectory for a train regarding its energy consumption as well as its travelling time simultaneously. Dynamic model of a train on a predefined track including slopes and tunnels is developed. Considering complexity of analytical optimization method for antithetic objectives, NSGA-II and MOPSO evolutionary algorithms are employed to solve the mul...