compared to conventional chlorination methods which apply chlorine at water treatment plant, booster chlorination has almost solved the problems of high dosages of chlorine residuals near water sources and lack of chlorine residuals in the remote points of a water distribution system (wds). however, control of trihalomethane (thm) formation as a potentially carcinogenic disinfection by-product ...

Two different kinds of multi-span grape rain sheds are constructed and the wind field and rainfall field distribution are simulated based on CFD and computer simulation techniques. The airflow distribution, temperature variation, wind pressure distribution and rainfall vectors distribution are compared under two conditions with ventilated region and without ventilated area in multi-span grape r...

With the current advances in computing and network technology and software, the gap between parallel and distributed computing environment is gradually becoming narrower. Consequently, parallel programs run on parallel as well as distributed systems. However, programming and porting complex applications to such environment is challenging task and not well understood. In this paper, we use a con...

Multi-objective optimization is a class of problems with solutions that can be evaluated along two or more incomparable or conflicting objectives. These types of problems differ from standard optimization problems in that the end result is not a single “best solution” but rather a set of alternatives, where for each member of the set, no other solution is completely better (the Pareto set). Mul...

We introduce a new multi-objective optimization (MOO) methodology based the splitting technique for rare-event simulation. The method generalizes the elite set selection of the traditional splitting framework, and uses both local and global sampling to sample in the decision space. In addition, an ε-dominance method is employed to maintain good solutions. The algorithm was compared with state-o...

In this paper, application of a multi-objective evolutionary algorithms is explored for solving multi-objective placement, packing, or layout problems. Placement problems are optimization problems concerned with finding an optimal arrangement of multiple items in a large containing region while satisfying prescribed requirements and constraints. This study is applied to the configuration design...

in this paper, a multi-objective reconfiguration problem has been solved simultaneously by a modified ant colony optimization algorithm. two objective functions, real power loss and energy not supplied index (ens), were utilized. multi-objective modified ant colony optimization algorithm has been generated by adding non-dominated sorting technique and changing the pheromone updating rule of ori...

Satellite scheduling is a typical multi-peak, manyvalley, nonlinear multi-objective optimization problem. How to effectively implement the satellite scheduling is a crucial research in space areas.This paper mainly discusses the performance of VEGA (Vector Evaluated Genetic Algorithm) based on the study of basic principles of VEGA algorithm, algorithm realization and test function, and then imp...

In present study, a three-step multi-objective optimization algorithm of cyclone separators is catered for the design objectives. First, the pressure drop (Dp) and collection efficiency (h) in a set of cyclone separators are numerically evaluated. Secondly, two meta models based on the evolved Group Method of Data Handling (GMDH) type neural networks are regarded to model the Dp and h as the re...

In this paper, the portfolio selection problem is considered, where fuzziness and randomness appear simultaneously in optimization process. Since return and dividend play an important role in such problems, a new model is developed in a mixed environment by incorporating fuzzy random variable as multi-objective nonlinear model. Then a novel interactive approach is proposed to determine the pref...