Interoperability Optimization using a modified PSO algorithm

Abstract

Optimizing efforts in interoperability implementation is considered a key requirement. This way one can effectively sets up, develops, and evolves intra and inter organizational collaboration. Therefore, the objective of the present paper is to initiate a novel method for linear modeling of the interoperability optimization between involved information systems. Interoperability degree is assessed using a novel Particle Swarm Optimization (PSO) model with dynamic neighborhood topology associated to parallel computation. The idea behind using dynamic neighborhood topology is to overcome premature convergence of PSO algorithm, by well exploring and exploiting the search space for a better solution quality. Parallel computation is used to accelerate calculations especially for complex optimization problems. The obtained results demonstrate good performance of the proposed algorithm in solving interoperability optimization.