International Conference on Computational Intelligence for Engineering and Management Applications (CIEMA 2022)

Selected Papers CIEMA 2022

Guest Editors:
Dr. Prasenjit Chatterjee
Department of Mechanical Engineering, MCKV Institute of Engineering, India
Website | E-Mail
Interests: Decision Analytics, Sustainability Modelling, Optimization, Multi-criteria Decision Making, Uncertainty Modelling.

Dr. Dragan Pamucar
University of Defence in Belgarde, Department of Logistics, Belgarde, Serbia
Website | E-Mail
Interests: Operations Research and Optimization, Multi-criteria Decision Making, Soft Computing, Uncertainty Modelling, Transport, Logistics, SCM.


Special Issue Information

CIEMA-2022, the 1st International Conference on Computational Intelligence for Engineering and Management Applications provides an international forum for researchers, scholars, academicians and industry professionals to present, address and exchange knowledge about theoretical and applied researches in computational intelligence for all domains of engineering and management applications.

CIEMA-2022 also aims to provide a premier interdisciplinary platform to unfold potential contemporary innovations, trends, and challenges encountered and elucidations embraced in applications of computational intelligence algorithms. This conference will be beneficial for researchers, scholars and professionals working in all domains of engineering and management disciplines.

Selected papers of CIEMA 2022 will be published under this special issue based on quality and suitability and recommendations of the CIEMA Committee. This special issue will be published tentatively in April - May 2022 after the CIEMA conference.

Tentative Topics:

Focusing on a variety of methods, systems as well as practical case studies, this Special Issue aims to provide a common platform for global research communities to share their novel research results, findings, and innovations for a diverse range of engineering and management applications. This Special Issue, therefore, solicits high-quality original research and review articles that cover novel, cutting-edge technologies, and methods concerned with but not limited to:

• Ambient intelligence
• Cognitive intelligence
• Cloud computing
• Cellular computing
• Deep learning
• Distributed computing
• Expert system
• Grid computing
• High-performance computing
• Intelligent systems
• Internet computing
• Machine learning
• Mobile computing
• Parallel computing
• Statistical learning
• Swarm intelligence
• Quantum computing
• Ubiquitous computing
• Artificial Neural Networks
• Big Data Analytics
• Combinatorial and numerical optimization
• Data Mining
• Differential Evolution
• Evolutionary computing
• Fuzzy systems
• Fuzzy Quadratic programming
• Genetic Algorithm
• Genetic Programming
• Gene Expression
• Multi criteria decision making
• Nature Inspired Computing
• Natural Heuristic Methods
• Neutrosophic theory
• Rough Sets
• Soft Computing
• Other analytical and optimization techniques