Abstract: In recent years, web realm has Service-Oriented Architectures (SOA) as the primary standard for IT infrastructures. Indeed with the commencement of service oriented architecture, web services have gained absurd progression. Web service discovery has become progressively more substantial. Discovering the most suitable web service from huge collection of web services is very crucial for the successful implementation of the web applications. In web service discovery automation, during matching, Quality of Service (QoS) attributes are continuously need to deem. Aiming at this, Bio-inspired algorithms for semantic web services were initiated. Bio-inspired algorithm is a meta heuristics method that imitates the nature in order to unravel optimization problem and evaluates the analysis of some popular bio-inspired optimization algorithm systematically. This paper proposes a new bio inspired algorithm which is inspired from Slime Mold. Slime mold is a fungus. Slime molds are habitually observed when they form large colonies on mulch around trees or shrubs. They may initially appear as a slimy mound or crowd. Slime mold has a unique intelligence to find the pray and its often unsighted. The character of slime mold is inspired and it solves the problem of complex and composite web services and produces optimized web services.
A. Amirthasaravanan, Paul Rodrigues and R. Sudhesh, 2016. ISM: Intelligent Slime Mold Optimization Algorithm for Proficient Web Services Discovery. Asian Journal of Information Technology, 15: 1579-1585.