The diversity and applicability of swarm intelligence is increasing everyday in the fields of science and engineering. Swarm intelligence gives the features of the dynamic features optimization concept. We have used swarm intelligence for the process of feature optimization and feature selection for content-based image retrieval. The performance of content-based image retrieval faced the proble...

The galactic swarm optimization algorithm is a metaheuristic approach inspired by the motion and behavior of stars galaxies. It framework that can use basic search methods. method, which has two-phase structure, performs exploration in first phase exploitation second phase. GSO tries to find best solution space repeating these two phases for specified number times. In this study, analysis maxim...

The recent advances in cloud computing set up well established research in Distributed computing, virtualization, web services, utility computing, have offered many benefits in scalability, cost and efficiency for cloud service users. These advantages are further expected to fulfill the demands of cloud users for cloud services efficiently. This brings the problem of fault tolerance, scalabilit...

Accurate and efficient business analytical predictions are essential for decision making in today's competitive landscape. Involves using data analysis, statistical methods, predictive modeling to extract insights make decisions. Current trends focus on applying analytics predictions. Optimizing involves increasing the accuracy efficiency of models used forecast future trends, behavior, outcome...

Gall-stone intestinal obstruction (GSO) is an unusual form of mechanical obstruction and a rare complication of cholelithiasis. The treatment options are controversial, usually the management is surgical but associated with significant morbidity and mortality. A spontaneous evacuation of the gall-stone that had induced GSO is even more exceptional, only few reports being published up to date. W...

Facial Emotion Expressions plays an important role in interpersonal relations.This is because human convey lot of information visually than verbally.To automate recognition of emotion state,machine should taught to understand facial guestures.In this paper we classify emotion expression through Support Vector Machine(SVM) & Hidden Markov Model (HMM),then Hidden Markov Model is optimized using G...

the gravitational search algorithm (gsa) is a novel optimization methodbased on the law of gravity and mass interactions. it has good ability to search forthe global optimum, but its searching speed is really slow in the last iterations. sothe hybridization of particle swarm optimization (pso) and gsa can resolve theaforementioned problem. in this paper, a modified pso, which the movement ofpar...

this paper presents a strategy for using harmony search algorithm in facility layout optimization problems. in this paper an adapted harmony search algorithm is developed for solving facility layout optimization problems. this method finds an optimal facility arrangement in an existing layout. two real-world case studies are employed to demonstrate the efficiency of this model. a comparison is ...

today, with rapid growth of the world wide web and creation of internet sites and online text resources, text summarization issue is highly attended by various researchers. extractive-based text summarization is an important summarization method which is included of selecting the top representative sentences from the input document. when, we are facing into large data volume documents, the extr...