Financial health of many organizations now-a-days is being affected by investment in software and their cost estimation. Therefore, to provide effective cost estimation models are the most complex activity in software engineering fields. This paper presents a fuzzy clustering and optimization model for software cost estimation. The proposed model uses Pearson product-moment correlation coeffici...

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...

Sensors play an important role in monitoring, detecting, recording and the physical environmental conditions of a particular place. These mainly include temperature, sound, wind, etc. nodes are connected to each other via transmission channel battery-operated. So, energy efficient algorithms needed reduce consumption overall setup increase lifetime sensor nodes. In this paper, we propose method...

Affected by regular tides, bidirectional water flows play a crucial role in surface river systems. Using optimization theory to design a water quality monitoring network can reduce the redundant monitoring nodes as well as save the costs for building and running a monitoring network. A novel algorithm is proposed to design an optimum water quality monitoring network for tidal rivers with bidire...

Chatter is a type of self-excited vibration that expresses variations in frequency and energy dispersion during the milling process invariably results poor part quality lower material removal rate. An efficacious chatter detection approach necessary to anticipate chatter's nascent stage. Feature extraction an important step identifying chatter. In this paper, efficient PF-based multi-mode signa...

One of the major distinguishing features of the dynamic multiobjective optimization problems (DMOPs) is the optimization objectives will change over time, thus tracking the varying Pareto-optimal front becomes a challenge. One of the promising solutions is reusing the “experiences” to construct a prediction model via statistical machine learning approaches. However most of the existing methods ...