This paper describes the application of an evolutionary optimization method to design satellite constellation for continuous regional coverage without intersatellite links. This configuration, called mutual coverage, is related to some technical limitations that exist on small satellite technology. The coverage of the north Algerian seismological network is taken as an example of application. A...

Conventionally, linear and univariate time series models are broadly used in earning forecast. However, their forecasting accuracies are seriously limited without considering sufficient important factors. On the other hand, using more variables does not guarantee to obtain better forecasting accuracy and may cause inefficiency. The Multi-Objective Genetic Algorithms (MOGA) have been shown to be...

MULTI-OBJECTIVE OPTIMIZATION OF BLAST SIMULATION USING SURROGATE MODEL Toshihiro Tsuga, M.S. George Mason University, 2007 Thesis Director: Dr. Rainald Löhner A multi objective optimization approach using a Kriging model coupled with a Multi Objective Genetic Algorithm (MOGA) is applied to a blast damage maximization problem composed of two objectives, namely number of casualties and damage to ...

In this paper, Metallic Catalytic Converter (MCC) is installed in motorcycle exhausts to produce the minimum CO as well optimum engine power. The results from previous research were collected and then used predict best MCC design using Artificial Neural Network Multi-Objective Genetic Algorithm (ANN-MOGA). addition, ANN parameter tuning process was also carried out Taguchi method find initial w...

This paper presents an automatic optimization method for compliant constant force mechanisms, which eliminates the need time-consuming parameter tuning and complex model design in conventional process. The proposed framework is based on finite-element analysis (FEA) multi-objective genetic algorithm (MOGA) methods designed two steps: First, preliminary mechanism carried out to roughly encompass...

The primary function of hybrid direct current circuit breakers (HCBs) is to quickly interrupt fault currents protect high-voltage (HVDC) systems. To enhance the reliability and stability HVDC systems, optimal design HCBs required minimize peak current, interruption time, recovery time. Therefore, this study develops a multi-objective genetic algorithm (MOGA)-based optimization model identify pa...

this paper studies the modeling and optimization of energy use and greenhouse gas emissions of eggplant production using artificial neural network and multi-objective genetic algorithm in guilan province of iran. results showed that the highest share of energy consumption belongs to diesel fuel (49.24%); followed by nitrogen (33.30%). the results indicated that a total energy input of 13910.67 ...

Introduction: Mogamulizumab (MOGA) is an anti-CCR4 monoclonal antibody approved for mycosis fungoides (MF) or Sézary syndrome (SS). The MAVORIC trial comparing MOGA versus vorinostat showed superior overall response rates (ORR) (28% vs. 4.8%, P < 0.0001) and progression free survival (PFS) (7.7 3.1 months (mo), with MOGA. We report the long-term outcomes of patients (pts) treated at Stanford. M...

This paper studies the modeling and optimization of energy use and greenhouse gas emissions of eggplant production using artificial neural network and multi-objective genetic algorithm in Guilan province of Iran. Results showed that the highest share of energy consumption belongs to diesel fuel (49.24%); followed by nitrogen (33.30%). The results indicated that a total energy input of 13910.67 ...

This paper studies the modeling and optimization of energy use and greenhouse gas emissions of eggplant production using artificial neural network and multi-objective genetic algorithm in Guilan province of Iran. Results showed that the highest share of energy consumption belongs to diesel fuel (49.24%); followed by nitrogen (33.30%). The results indicated that a total energy input of 13910.67 ...