State of the Art on Grammatical Inference Using Evolutionary Method

Dr. Hari Mohan Pandey is Lecturer in Computer Science at Edge Hill University, UK. He is specialized in Computer Science & Engineering. His research area includes artificial intelligence, soft computing techniques, natural language processing, language acquisition and machine learning algorithms. He is author of various books in computer science engineering (algorithms, programming and evolutionary algorithms). He has published over 50 scientific papers in reputed journals and conferences, served as session chair, leading guest editor and delivered keynotes. He has been given the prestigious award “The Global Award for the Best Computer Science Faculty of the Year 2015” award for completing INDO-US project “GENTLE”, award (Certificate of Exceptionalism) from the Prime Minister of India and award for developing innovative teaching and learning models for higher-education. Previously, he worked as a research fellow in machine learning at Middlesex University, London where he worked on a European Commission project- DREAM4CAR. His role was to research and develop advanced machine learning techniques relevant to the project goals and to evaluate these on both project and reference data sets, to lead and manage relevant work packages in support of the Project, ensuring appropriate interfacing with partners.

1. Introduction and Scientific Goals
2. State of the Art: Grammatical Inference
3. State of the Art: Genetic Algorithms and Premature Convergence
4. Genetic Algorithms and Grammatical Inference
5. Performance Analysis of Genetic Algorithm for Grammatical Inference
6. Applications of Grammatical Inference Methods and Future Development