Optimization in collaborative information systems for an enhanced interoperability network

Today's constraints on collaborative enterprises are often directly reflected in the interoperability of their information systems. The goal is to improve and effectively evolve the global interoperability of collaboration by distributing the required effort in an optimal way on different information systems to achieve the target goal. This method of enhancement will be realized by applying an IMA (Interoperability Measurement Approach) to generate a ratio representing the degree of interoperability of an information system within the collaboration, as well as applying the heuristic optimization method PPSO (Paralleled Particle Swarm Optimization) to reach the optimal distribution of effort.

[1]  Nabil Hmina,et al.  A novel approach IMA of interoperability measurement , 2016, 2016 4th IEEE International Colloquium on Information Science and Technology (CiSt).

[2]  Mark Kasunic,et al.  Measuring Systems Interoperability: Challenges and Opportunities , 2001 .

[3]  Norelislam El Hami,et al.  Hybrid Evolutionary Optimization Algorithm MPSO-SA , 2010 .

[4]  Shelly Sachdeva,et al.  Implementing healthcare interoperability utilizing SOA and data interchange agent , 2015 .

[5]  Raul Poler Escoto,et al.  Maturity Model for Interoperability Potential Measurement , 2013, Inf. Syst. Manag..

[6]  Nabil Hmina,et al.  A new parallel approach for the exploitation of the search space based on PSO algorithm , 2016, 2016 4th IEEE International Colloquium on Information Science and Technology (CiSt).

[7]  Guy Doumeingts,et al.  Architectures for enterprise integration and interoperability: Past, present and future , 2008, Comput. Ind..

[8]  Badr Elmir,et al.  Interoperability optimization in healthcare collaboration networks , 2012, Biomedizinische Technik. Biomedical engineering.

[9]  T. Radha Ramanan,et al.  A particle swarm optimization approach for permutation flow shop scheduling problem , 2014 .

[10]  Wided Guédria,et al.  Maturity model for enterprise interoperability , 2015, Enterp. Inf. Syst..

[11]  David Chen,et al.  Enterprise interoperability measurement - Basic concepts , 2006, EMOI-INTEROP.

[12]  David Chen,et al.  An Approach for Enterprise Interoperability Measurement , 2008, MoDISE-EUS.

[13]  K. Babu.  Comparison of PSO, AGA, SA and Memetic Algorithms for Surface Grinding Optimization , 2016 .

[14]  Badr Elmir,et al.  A Novel Approach for Periodic Assessment of Business Process Interoperability , 2011, ArXiv.

[15]  Göran Goldkuhl.  The challenges of Interoperability in E-government: Towards a conceptual refinement , 2008 .

[16]  Richard A. DeFusco,et al.  Quantitative Investment Analysis , 2015 .

[17]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.