Nima Khodadadi
University of California, Berkeley, CA, USA
Ehsaneh Khodadadi
University of Arkansas, Fayetteville, AR 72701, USA
2833-5597
ASPG Publisher, 625 Wright Ave, Gretna, LA 70056, USA
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Principal Contact Benyamin Abdollahzadeh Email: editorial@americaspg.com |
Support/Production Contact Adam Miller Email: support@americaspg.com |
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Authors are required to disclose the use of generative AI tools in the preparation of their manuscripts, where applicable, in accordance with the publisher’s ethical policies.
This journal follows an open-access publishing model. All accepted articles are made immediately available online without subscription barriers. No article processing charges (APC) are required.
Journal of Artificial Intelligence and Metaheuristics (JAIM) is an international, peer-reviewed scholarly journal dedicated to advancing research in artificial intelligence and metaheuristic optimization. The journal provides a rigorous platform for the publication of original research articles and authoritative review papers that present novel theoretical developments, methodological innovations, and impactful real-world applications in these fields.
JAIM operates a structured and transparent editorial and peer-review process designed to ensure the highest standards of scientific quality, originality, and integrity. All submitted manuscripts undergo initial editorial screening followed by independent peer review conducted by qualified experts in the relevant domain.
Authors are invited to submit manuscripts prepared in any standard academic format at the initial submission stage. Compliance with a specific journal template is not required before peer review. Upon acceptance, all manuscripts are professionally edited, formatted, and typeset by the journal’s production team in accordance with official publication standards to ensure consistency and quality of presentation.
JAIM is committed to upholding high standards of publication ethics, research integrity, and transparency. Authors are required to ensure that their submissions comply with established ethical standards, including originality, proper citation, transparent authorship, and the disclosure of any conflicts of interest.
JAIM follows the ASPG Publication Ethics and Malpractice Statement. Submission of a manuscript implies that authors comply with the journal’s editorial policies, ethical requirements, and copyright regulations (see the Publication Ethics and Malpractice Statement for full details). Authors agree to the publisher’s copyright and licensing terms upon acceptance (see the Copyright and Licensing Policy). Details of the editorial and review workflow are available in the Peer Review Process page.
JAIM is envisioned to present cutting-edge research and development at the intersection of artificial intelligence and metaheuristic computing. This platform disseminates knowledge on all aspects of theoretical foundations, algorithmic design, and practical applications of metaheuristics fo solving complex optimization problems. Papers featuring novel metaheuristic algorithms, hybrid models, and their rigorous theoretical analyses are welcome. The journal will give keen insight into research dealing with nature-inspired computing, swarm intelligence, evolutionary algorithms, and their integration with machine learning and deep learning architectures. This journal also focuses on sharing recent advances in the application of these intelligent algorithms to real world, NP-hard problems across various domains. JAIM also welcomes topics related to large-scale optimization, multi-objective optimization, and heuristic learning in the domains of IoT, cloud computing, big data analytics, and cognitive systems. The journal prefers applications in Supply Chain Logistics, Network Design, Bio-informatics, Financial Modelling, Energy Systems, and Autonomous Robotics. Articles are expected to emphasize algorithmic innovation, performance validation, and practical relevance.
List of Covered Topics
· Nature-Inspired Computing
· Swarm Intelligence (e.g., PSO, ACO, ABC)
· Evolutionary Algorithms (e.g., GA, DE, GP)
· Trajectory-Based and Population-Based Methods
· Hybrid Metaheuristic Models
· Memetic Algorithms
· Hyper-heuristics and Automated Algorithm Selection
· Parallel and Distributed Metaheuristics
· Multi-Objective and Many-Objective Optimization
· Metaheuristics for Large-Scale and NP-hard Problems
· Metaheuristic-based Deep Learning Architecture Search
· Predictive Modelling and Forecasting using Metaheuristics
· Theoretical Analysis of Metaheuristics
· Convergence and Complexity Analysis
· Benchmarking and Performance Evaluation
· Algorithmic Complexity and Scalability
· Stochastic Modeling and Probabilistic Analysis
· Optimization in Internet of Things (IoT) and Sensor Networks
· Cloud Computing and Resource Scheduling
· Bioinformatics and Computational Biology
· Autonomous Robotics and Path Planning
· Network Design and Routing
· Image Processing and Computer Vision
Associate Editors
Amel Ali Alhussan
Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourahbint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
Ahmed Mohamed Zaki
Computer Science and Intelligent Systems Research Center, Blacksburg 24060, Virginia,
Nadjem Bailek
Energies and Materials Research Laboratory, Faculty of Sciences and Technology, University of Tamanghasset, Tamanrasset, 10034, Algeria.
Sustainable Development and Computer Science Laboratory, Faculty of Sciences and Technology, Ahmed Draia University of Adrar, Adrar, Algeria
Abdelaziz A. Abdelhamid
Department of Computer Science, Faculty of Computer and Information Sciences, Ain Shams University, Cairo 11566, Egypt
Hussein Alkattan
Department of System Programming, South Ural State University, 454080 Chelyabinsk, Russia
Khaled Sh. Gaber
Computer Science and Intelligent Systems Research Center, Blacksburg 24060, Virginia, USAkhsherif@jcsis.org P.K. Dutta School of Engineering and Technology, Amity University Kolkata, India
Abdelhameed Ibrahim
Computer Engineering and Control Systems Department, Faculty of Engineering, Mansoura University, Mansoura 35516, Egypt
Sunil Kumar
School of Computer Science, University of Petroleum and Energy Studies, Dehradun, 248001, India
Safa S. Abdul-Jabbar
Computer Science Department of Science for Women University of Baghdad, Baghdad, Iraq
Wei Hong Lim
Faculty of Engineering, Technology and Built Environment, UCSI University, Kuala Lumpur 56000, Malaysi
Hamzah A. Alsayadi
Computer Science Department, Faculty of Sciences, Ibb University, Yemen
H. K. Al-Mahdawi
Electronic Computer Centre, University of Diyala
Adel Oubelaid
Laboratoire de Technologie Industrielle et de l'Information, Faculté de Technologie, Université de Bejaia, 06000 Bejaia, Algeria
Muhammad Ahsan
School of Mathematical Sciences, Jiangsu University, Jiangsu 212013, China
Manish Kumar Singla
Department of Interdisciplinary Courses in Engineering, Chitkara University Institute of Engineering & Technology, Chitkara University, Punjab, India
Abdelaziz Rabehi
Telecommunications and Smart Systems Laboratory, University of Djelfa, PO Box 3117, Djelfa 17000, Algeria
Asifa Iqbal
School of international languages Zhengzhou University, Henan, China
Hamidreza Rabiei-Dastjerdi
School of History and Geography, Faculty of Humanities and Social Sciences, Dublin City University (DCU),D09 V209 Dublin, Ireland
Raad S. Alhumaima
Brunel University, Uxbridge UB8 3PH, U. K
Laith Farhan
School of Engineering, Manchester Metropolitan University, Manchester, M1, UK
Authors are invited to submit their manuscripts through the journal’s online submission system.
Manuscripts may be prepared in any standard academic format at the initial submission stage. Compliance with a specific journal template is not required prior to peer review. Upon acceptance, manuscripts will be professionally formatted in accordance with the publisher’s publication standards. Detailed preparation instructions are provided in the Author Guidelines.
All submissions undergo an initial editorial screening followed by a rigorous double-blind peer-review process conducted by independent experts. Details of the review workflow are available in the Peer Review Process page.
Authors are required to ensure that their submissions comply with the publisher’s ethical standards. For full details, please refer to the Publication Ethics and Malpractice Statement.
