METASOFT-2022 will provide a forum that will bring together researchers, academia and practitioners from industry to meet and exchange their ideas and recent research achievements in all aspects of Meta Heuristic Search Techniques and Applications in Software Engineering together with their applications in the contemporary world.

Call for Contributions

Prospective authors are kindly encouraged to contribute to the shape of the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Meta-Heuristic Algorithms, Applications in Software Engineering are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials

The program includes time allocated for networking, peer-to-peer discussions, and exploring the host city. We invite the participation of leading academic scientists, researchers and scholars in the domain of interest from around the world to submit original research contributions relating to all aspects of the following (But not limited to):

Metaheuristic Algorithm and its Application:

• Swarm intelligence
• Ant colony optimization
• Particle swarm optimization
• Bees algorithm
• Evolutionary algorithms
• Genetic algorithm
• Genetic programming
• Evolutionary strategy
• Differential evolution
• Neural networks
• Fuzzy / neuro-fuzzy systems
• Harmonic search
• Simulated annealing
• Artificial immune systems
• Tabu search
• Memetic search

Multi objective optimization in Software Testing:

• Regression Testing
• Continuous Integration
• Functional & GUI Testing
• Load Testing, Unit Testing
• Data-driven & Keyword-driven Testing

Machine Learning & its Application :

• Neural networks
• Fuzzy / neuro-fuzzy systems
• Deep Learning Techniques
• Application of Machine Learning Techniques in Software Testing
• Application of Machine Learning Techniques in Bio-medical Signal/Image Processing.
• Application of Machine Learning Techniques in Speech Processing.
• Application of Machine Learning Techniques in Bio-technology.
• Application of Machine Learning Techniques in Communication.
• Application of Optimization Techniques in different domain.

Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar declared u/s 3 of UGC Act, 1956 is a leading University in India offering professional programmes in the disciplines of Master of Sciences, Engineering, Medicine, Dental Science, Nursing, Pharmaceutical Science, Biotechnology, Management, Law, Hotel Management and Agricultural Sciences. The university offers a vibrant atmosphere for teaching – learning, research & development and socially inclusive extension activities through all its undergraduate and post graduate programmes. Today Siksha ‘O’ Anusandhan (Deemed to be University) has emerged as one of the fastest growing university in the country. True to its mandate to pursue contemporary and interdisciplinary research this comprehensive and multi-disciplinary university is actively spearheading research in emerging area of Technology, Medicine, Science and Management. The University has been awarded ranks among top 20 in the country in University category by National Institutional Ranking Framework (NIRF) of Ministry of Human Resources & development (MHRD), Govt of INDIA consistently for last three years, surpassing many State & Central University/ IIT’s / Institute of high learning. In 2017-18 it has been declared 24th Best in University Category, 41th Best in Overall Institute and 21th Best Medical College in the country. This is the only University in Odisha to have achieved such accolade. Approved by UGC & AICTE, it has been re-accredited by the NAAC with A-Grade and has obtained the International Accreditation by ABET, USA.