Glowworm Swarm Optimization algorithm is applied for the simultaneous capture of multiple optima of multimodal functions. The algorithm uses an ensemble of agents, which scan the search space and exchange information concerning a fitness of their current position. The fitness is represented by a level of a luminescent quantity called luciferin. An agent moves in direction of randomly chosen nei...

Software testing is an important activity that is carried out during the software development life cycle. Regression testing means re-executing test cases from existing test suites to assure that the modifications done to the existing software have no adverse effects. During regression testing, new test cases are not created but previously created test cases are reexecuted. The ideal regression...

The process of load balancing increases the performance of cloud based services. Cloud based service provide hardware, software and platform as service. For the balancing of public cloud used two types of approach one is traditional approach and other is dynamic approach. The traditional approach follows the concept of CPU scheduling technique such as round robin and first come first service. T...

To make glowworm swarm optimization (GSO) algorithm solve multi-extremum global optimization more effectively, taking into consideration the disadvantages and some unique advantages of GSO, the paper proposes a hybrid algorithm of Broyden–Fletcher–Goldfarb– Shanno (BFGS) algorithm and GSO, i.e., BFGS-GSO by adding BFGS local optimization operator in it, which can solve the problems effectively ...

In this paper, two new cluster analysis methods based on glowworm swarm optimization (GSO) algorithm are proposed. The first algorithm showed how GSO can be used to self-organization cluster analysis. The second algorithm is hybrid the GSO clustering analysis with the K-means algorithm to accelerate classification. Two clustering algorithms are tested on three data sets; experimental results sh...

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...

We research maximum range expansion using a fixed number of mobile wireless nodes along a line which do distributed MIMO (Multiple Input Multiple Output) in diversity configuration, also known as cooperative transmission (CT). The emphasis is on optimal clusters and locations of these clusters to maximize the multi-hop reach along the line based on the swarm intelligence algorithms which are th...