Predicting groundwater levels is critical for ensuring sustainable use of an aquifer’s limited reserves and developing a useful abstraction management strategy. The purpose this study was to assess the predictive accuracy estimation capability various models based on Adaptive Neuro Fuzzy Inference System (ANFIS). These included Differential Evolution-ANFIS (DE-ANFIS), Particle Swarm Optimizatio...

Reliability-based robust design optimization (RBRDO) is one of the most important tools developed in recent years to improve both quality and reliability of the products at an early design stage. This paper presents a comparative study of different formulation approaches of RBRDO models and their performances. The paper also proposes an evolutionary multi-objective genetic algorithm (MOGA) to o...

As a multi-source vibration machine, the complex of combine harvester has caused many effects on various components. In this paper, dynamic response plate and shell is studied, influence factors determined. The structure optimized, scheme structural optimization that replaces finite element model with surrogate developed. designed Latin hypercube design (LHD), surface generated based Kriging mo...

In this study, the effect of adding hydrogen to natural gas and EGR ratio was conducted on a diesel engine investigate performance exhaust gases by AVL Fire multi-domain simulation software. For investigation, mixture fuel replaced fuel. The percentage in blend changed from 0% 40%. compression converted 17:1 15:1. ratios were three steps 5%, 10%, 15%, with different speeds 1000 1800 RPM. Gaussi...

The Multi Objective Genetic Algorithms (MOGAs) are one of the most widely used techniques that have the capability to find the solution to the problem having multiple conflicting objectives like Intrusion Detection. It is a population based technique capable of producing a set of non-inferior solutions that exhibit the classification trade-offs for the user. This capability of MOGA can be explo...

This paper presents a novel method to solve non-linear time-cost tradeoff (TCT) problem of real world engineering projects. Multiobjective genetic algorithm (MOGA) is employed to search for optimal TCT profile. Applicability of ANN based model for rapid estimation of time-cost relationship by invoking its function approximation capability is investigated. ANN models are then integrated with MOG...

Power quality monitors handle and store several gigabytes of data within a week and hence automatic detection, recognition and analysis of power disturbances require robust data mining techniques. Literature reveals that much work has been done to evolve several feature extraction and subsequent classification techniques for accurate power disturbance pattern recognition .However the features e...

The LCLS-II (linac coherent light source II) will build on the success of the world’s most powerful X-ray laser: the LCLS (linac coherent light source). It will add two new X-ray laser beams and room for additional new instruments, thus greatly increasing the number of experiments carried out each year. Multiple operation modes are proposed to accommodate a variety of user requirements. There a...

This paper addresses the problem of controlling Heating Ventilation and Air Conditioning (HVAC) systems with the purpose of maintaining a desired thermal comfort level, whilst minimizing the electrical energy required. Using a pilot installation, in the University of Algarve, Portugal, a Model Based Predictive Control (MBPC) strategy is used to control the HVAC equipment. The thermal comfort is...