A vehicular ad hoc network (VANET) consist of moving vehicles connected via wireless technology e.g., Wireless Access in Vehicular Environment (WAVE) for the aim exchanging information. Therefore data dissemination VANET has become issue debate researcher. In broadcasting play an important role. The is to ensure passenger safety through emergency message. With multiple objectives broadcast stor...

Abstract This paper aims to improve summer power generation of the Yeywa Hydropower Reservoir in Myanmar using modified multi-step ahead time-varying hedging (TVH) rule as a case study. The results TVH rules were compared with standard operation policy (SOP) rule, binary (BSOP) discrete (DH) (SH) one-point (OPH) and two-point (TPH) rule. Multi-Objective Genetic Algorithm (MOGA) was utilized dri...

In this work we consider the design of neural network and Takagi Sugeno fuzzy logic controller, TSFLC, with Multi-Obejctive Genetic Algorithm, MOGA. For the neural network, the MOGA has to minimize three objectives, the cumulated error, the number of neurons in the hidden layer and the number and type of inputs to the network. In the case of the TS FLC, the objectives are the cumulated error an...

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...

Building energy optimization (BEO) is a promising technique to achieve efficient designs. The efficacy of algorithms imperative for the BEO and significantly dependent on algorithm hyperparameters. Currently, studies focusing hyperparameters are scarce, common agreement how set their values, especially problems, still lacking. This study proposes metamodel-based methodology hyperparameter appli...

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...

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...

Manuscript received September 10, 2009; revised November 20, 2009; accepted December 2, 2009 Correspondent Author :Li Ming This paper is was supported by the National Natural Science Funds (60963002) from China. Abstract— Feature subset selection is the most important and difficult task in the field of fatigue fracture image identification. In this paper, a new method which is hybrid of linear ...

application of either protein or carbohydrate-based products as fat replacers in low fat ice-creams can improve the properties of these products. however, the type and level of fat and fat replacer utilized are affected by such different parameters as functional ones, namely: viscosity and overrun, hardness and melting rate, nutritional properties (calories) as well as the price of the final pr...