About the Journal

The Journal of Optimization and Artificial Intelligence (JOAI) is an open-access journal that focuses on a wide range of topics related to optimization, informatics, and artificial intelligence. The journal aims to provide a platform for researchers and practitioners to disseminate their work and contribute to the advancement of these fields.

The coverage of JOAI encompasses various areas, including:

  1. Combinatorial Optimization Problems (COPs): Papers addressing theoretical and practical aspects of combinatorial optimization problems, such as optimization algorithms, problem modeling, and solution techniques.

  2. Computer Science Security: Research articles exploring the security aspects of computer systems, network security, cryptography, and data protection.

  3. Computational Complexity: Contributions related to the complexity analysis of algorithms, including the study of computational intractability and the classification of problem complexities.

  4. Computational Aspects in Science of Life: Papers discussing the application of computational techniques in life sciences, bioinformatics, genomics, and computational biology.

  5. Computational Intelligence: Articles covering the field of computational intelligence, including neural networks, fuzzy systems, evolutionary computation, and machine learning.

  6. Doctoral Thesis Summary: Summaries of doctoral theses highlighting the key findings and contributions made by the researchers.

  7. Grid Computing: Research on grid computing, distributed computing, cloud computing, and related topics, focusing on optimization and artificial intelligence techniques.

  8. Informatics: Papers addressing various aspects of informatics, including data management, information systems, knowledge representation, and data analysis.

  9. Meta-heuristic and Heuristic Algorithms: Contributions focusing on the development and application of meta-heuristic and heuristic algorithms for solving optimization problems.

  10. Operations Research: Research articles covering the theory, methods, and applications of operations research, optimization techniques, and decision-making models.

  11. Semantic Web: Papers exploring the Semantic Web, ontologies, knowledge representation, and the application of artificial intelligence techniques in web technologies.

  12. Software Engineering: Contributions related to software engineering principles, methodologies, software development processes, and optimization techniques for software design and maintenance.

  13. Technical Reports of Master's Theses and BSc Theses: Reports summarizing the findings of master's theses and bachelor's theses in the field of optimization and artificial intelligence.

  14. Web Technologies: Research articles focusing on web technologies, web applications, web services, and related optimization and artificial intelligence techniques.

  15. Smart Cities, Smart Water, Smart Transportation, Smart Government, Smart Farming, Smart Environment, Smart Education, Smart Economy: Papers addressing the application of optimization and artificial intelligence in various aspects of smart cities and related domains.

  16. Secure Cities: Articles discussing the application of optimization and artificial intelligence in the security aspects of cities, including surveillance systems, threat detection, and risk assessment.

 

In addition to the existing scope, the Journal of Optimization and Artificial Intelligence (JOAI) also covers the following topics related to artificial intelligence (AI):

  1. Artificial Intelligence: Research articles focusing on various aspects of artificial intelligence, including machine learning, natural language processing, computer vision, knowledge representation, expert systems, intelligent agents, and AI applications in different domains.

  2. Deep Learning: Contributions related to deep learning algorithms, architectures, and applications, such as deep neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs).

  3. Reinforcement Learning: Research on reinforcement learning algorithms, optimization techniques, and applications, including Markov decision processes, Q-learning, policy gradients, and applications in robotics, game playing, and control systems.

  4. Explainable AI: Papers addressing the interpretability and explainability of AI models and systems, including techniques for understanding and explaining the decision-making process of AI algorithms.

  5. AI Ethics and Fairness: Contributions exploring the ethical implications of AI, fairness and bias in AI algorithms, accountability and transparency in AI systems, and the social impact of AI technologies.

  6. AI in Healthcare: Research articles focusing on the application of AI techniques in healthcare, including medical diagnosis, image analysis, drug discovery, personalized medicine, and health data analytics.

  7. AI in Finance: Papers discussing the application of AI in financial systems, including algorithmic trading, fraud detection, credit scoring, risk assessment, portfolio optimization, and financial forecasting.

  8. AI in Natural Language Processing: Contributions related to AI techniques applied to natural language processing tasks, such as sentiment analysis, text classification, machine translation, question answering, and dialogue systems.

  9. AI in Robotics: Research articles exploring the integration of AI techniques in robotics, including perception, motion planning, robot control, human-robot interaction, and autonomous systems.

  10. AI in Internet of Things (IoT): Papers addressing the use of AI algorithms and techniques in IoT systems, including sensor data analysis, anomaly detection, predictive maintenance, and intelligent decision-making in IoT environments.

  11. AI for Smart Cities: Research on the application of AI in smart city infrastructure, urban planning, energy management, transportation systems, public safety, and sustainable development.

These additional topics within the scope of artificial intelligence expand the coverage of the Journal of Optimization and Artificial Intelligence to include advancements and research in the rapidly evolving field of AI. Researchers and practitioners are encouraged to submit their original work in these areas to contribute to the dissemination of knowledge and advancements in optimization and artificial intelligence.