A survey on Efficient Evolutionary algorithms for Web Service Selection

The web service selection mechanism plays an essential role in service composition; because most of the business applicants are in a situation to share their information's through online in a composite manner. Everyday the importance of web services is more. Based on the customer requirements the copious services are created and published as web services. The selection of an optimal service turns out to be an NP-hard problem. Inoder to tackle the NP-hard problem, we applied Efficient Evolutionary Algorithms (EEAs). It is the most powerful evolutionary algorithm to tackle the real world optimization problems. Since it achieves a tremendous success by making use of the random decisions in different modules. The applications of EA's are computational biology, Engineering, logistics and telecommunications. The EEA's are Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Bee Algorithm (BA) and Firefly Algorithm (FA), Shuffled Frog Leaping Algorithm (SFLA), Memetic algorithm etc., works effectively on optimization problems. The four most efficient algorithms such as GA, PSO, and SFLA, MA are taken and compared the various quality of each algorithm in order to provide an efficient service.