The purpose of this paper is to examine the multidisciplinary design optimization (MDO) of a reentry vehicle. In this paper, optimization of a RV based on, minimization of heat flux integral and minimization of axial force coefficient integral and maximization of static margin integral along reentry trajectory is carried out. The classic optimization methods are not applicable here due to the c...

This paper extends the application of Subset Simulation (SS), an advanced Monte Carlo algorithm for reliability analysis, to solve constrained optimization problems encountered in engineering. The proposed algorithm is based on the idea that an extreme event (optimization problem) can be considered as a rare event (reliability problem). The Subset Simulation algorithm for optimization is a popu...

potato image segmentation is an important part of image-based potato defect detection. this paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on genetic algorithm (ga) optimization and morphological operators. the proposed potato color image segmentation is robust against variation of background, distance and ...

The replication of the non-structure data from one data center to another is an urgent task in HBase. The paper studies the priority growth probability of the priority replication queue and proposed a dynamic priority replication task queue algorithm based on the earliest deadline first algorithm (EDF). The experiment results show that the proposed algorithm can balance the replication overhead...

A major issue which divides the facial expressions from the other classification domains is complicated behaviour of human to express the emotions which should be recognised with the classifier model. Existing research recognise the emotions using a range of classification techniques. However, low accuracy rate, large training set, large extracted features or priority for sequence images are th...

In this paper, polling based mobile data gathering and the priority based data storage algorithm for wireless sensor networks (WSN) is proposed. Initially, the centralized algorithm places the polling points (PPs) on the shortest path. These polling points (PP) buffer locally aggregated data and upload the data to the mobile data collector when it arrives. Then, priority based data storage modu...

In this paper, a novel approach based on handling constraints as objectives together with a modified Parks & Miller elitist technique, to solve constrained multiobjective optimization problems, is analyzed with Niched Pareto Genetic Algorithm. The performance of this approach is compared with the classical procedure of handling constraints that is the exterior penalty function method. Results a...

In this paper novel technique for CPU scheduling in real time operating systems by using genetic algorithm (GA) is proposed. Proposed adaptive algorithm is a combination of existing dynamic priority driven algorithm i.e. Earliest Deadline First (EDF) and new genetic algorithm (GA) based scheduling algorithm. First we have developed GA based scheduling algorithm and tested it during both under l...

Essential components in wireless systems are schedulin and resource allocation. The problems scheduling refers to inactive users a given time slot terms of allocation it the issues physical layer resources such as power bandwidth among active users. In Long Time Evolution (LTE) downlink optimized problem flow deadlines that incorporate formulation surveyed algorithm for achieving enhanced perfo...