1st International Conference on Advanced Optimization Techniques and Applications

AOTA-2023


  • URL: https://aota.co.in/
  • Event Date: 2023-01-21 ~ 2023-01-22
  • Abstract Submission Date: 2022-08-15
  • Submission Date: 2022-10-15
  • Organizer: RAMGARH ENGINEERING COLLEGE, INDIA

Computing Systems Data Mining & Analysis Artificial Intelligence Evolutionary Computation Fuzzy Systems Information Theory Operations Research



1st International Conference on Advanced Optimization Techniques and Applications (AOTA)-2023



Ramgarh Engineering College, Jharkhand (Estd. by Govt. of Jharkhand & run by Techno India under PPP), in collaboration with Sultan Moulay Slimane University, Morocco and City University, Malaysia; is organizing the 1st International Conference on Advanced Optimization Techniques and Application (AOTA)-2023 during 21st and 22nd January, 2023.



ABOUT AOTA-2023:



The goal of the 1st International Conference on Advanced Optimization Techniques and Applications (AOTA) - 2023 is to bring together leading academicians, scientists, researchers and scholars from around the world to exchange and share their experiences and research findings on all aspects of advanced optimization techniques. It also serves as a leading interdisciplinary forum for researchers, practitioners, and educators to present and discuss the latest breakthroughs, trends, and concerns, as well as practical issues and solutions in the field of optimization techniques. Out Station candidates will be allowed for online presentation with prior information during registration.





TRACKS AND THEMES:



Prospective authors are requested to submit high quality original and unpublished full research papers in all areas of advanced optimization techniques for real world applications for presentation during the conference. Any theoretical, empirical, or experimental work on optimization models and related mathematics, solution methods, and systems is encouraged. The purpose is to aid in the understanding, development, and application of optimization technologies for real-time problem solutions.



TRACK 1: INTELLIGENT OPTIMIZATION



Ant colony optimisation

Genetic algorithms

Machine learning algorithms

Predictive modelling

Parallel and distributed computation

Swarm and evolutionary optimization techniques

Bio inspired computations

Nature inspired computations

Tabu search

Quantum evolutionary algorithm



TRACK 2: CONVENTIONAL OPTIMIZATION TECHNIQUES



Single and multi-objective optimization

Computational complexity and optimization

Continuous or discrete optimization

Structural optimization

Simulation-based optimization Techniques

Topology optimization

Combinatorial optimization and mathematical programming

Multi-objective programming

Multi-criteria decision making

Metaheuristic optimization algorithms

Hybrid algorithms

Dynamic optimization

Continuous optimization



TRACK 3: FUZZY OPTIMIZATION TECHNIQUES



Fuzzy linear programming

Fuzzy neural networks

Fuzzy multi-objective programming

Fuzzy integer programming

Fuzzy dynamic programming

Fuzzy-rough sets-based decision support algorithm

Possibilistic linear programming

Fuzzy learning methods

Fuzzy preference modelling

Fuzzy nonlinear programming

Hesitant intuitionistic fuzzy algorithm

Fuzzy genetic algorithm

Fuzzy systems

Penalty function based approach

Fuzzy multi-criteria decision making



TRACK 4: INTELLIGENT COMPUTING AND APPLICATIONS



Artificial neural networks

Artificial Immune Systems

Evolutionary computation

DNA Computing

Fuzzy computing

Intelligent computing for intelligent systems,

Intelligent computing for internet of things and big data

Intelligent computing applications in block chain and interoperability

Intelligent computing for 5g technology and modern networks

Machine learning and deep learning

Intelligent information system optimization

Membrane computing,

Learning theory

Quantum computing



TRACK 5: META-HEURISTICS OPTIMIZATION



Meta-heuristics: Applications and Innovation

Applications of algorithms inspired by the natural law of swarming behaviour

Applications of ecology based computation algorithms

Innovation and improvements in algorithms inspired by natural law of swarming behaviour

Innovation and improvements in ecology-based computation algorithms



TRACK 6: SUSTAINABLE OPTIMIZATION AND COMPUTING



Intelligent computing for optimizing energy harvesting and distribution

Application of intelligent optimizing and computing in energy autonomy

Intelligent computing for modelling and simulations of renewable energy systems

Intelligent optimizing and computing for precision agriculture and precision livestock farming

Intelligent optimizing and computing for sustainable smart cities and sustainable development

Intelligent optimizing and computing for sustainable materials and manufacturing

Intelligent optimizing, decision making and computing for sustainable applications

 





PUBLICATIONS:



Papers will be published in the world famous AIP Conference Proceedings (Approval Received). AIP Conference Proceedings are indexed in a number of services, including these leading databases:




  • The Conference Proceedings Citation Index (part of Web of Science)

  • Scopus (Elsevier)

  • Inspec

  • Chemical Abstracts Service (CAS)

  • Astrophysics Data System (ADS)



ASSOCIATED JOURNALS:



International Journal of Business and Globalisation (Indexed in scopus)



International Journal of Operations Research and Information Systems (Indexed in scopus)



International Journal of Business Analytics (Indexed in scopus)



International Journal of Information Systems and Supply Chain Management (Indexed in scopus)



For publication and registration details, please visit:



https://aota.co.in/publication.html





FULL PAPERS SUBMISSION LINK: https://easychair.org/conferences/?conf=aota2023



CONFERENCE WEBSITE: https://aota.co.in