ISSN: ISSN
1758-2008 (Print )
1758-2016 (Electronic)
Journal of Artificial Intelligence and Evolutionary Computation
Welcome to the Journal of Artificial Intelligence and Evolutionary Computation
Journal h-index : 32
Journal cite score : 0.55
Journal impact factor : 2.39
Average acceptance to publication time (5-7 days)
Average article processing time (30-45 days)
Editorial Board
John Doe
Editor-in-Chief
Professor, Department of Computer Science, Harvard University, USA, Expertise: Artificial intelligence, machine learning, computational models, algorithms
Michael Lee, PhD
Editor-in-Chief
Director, AI Research Lab, University of California, Berkeley, USA
Expertise: Deep learning, neural networks, evolutionary computation
William Blackwell
Editor-in-Chief
Department of Computer Science, University of Cambridge, UK Expertise: Evolutionary computation, computational models, swarm intelligence
Journal of Artificial Intelligence and Evolutionary Computation (JAIEC) is a peer-reviewed, open-access journal dedicated to publishing high-quality research in the fields of Artificial Intelligence (AI) and evolutionary computation. JAIEC serves as an international platform for researchers, engineers, and data scientists to share cutting-edge discoveries, novel algorithms, and insightful reviews. The journal invites original research articles, review papers, short communications, and case studies that explore various aspects of AI, machine learning, and evolutionary computation, fostering interdisciplinary collaboration and the broad dissemination of knowledge.
Journal Highlights
JAIEC covers a wide range of topics within artificial intelligence and evolutionary computation, ensuring a comprehensive and inclusive platform for scientific advancements. We uphold the highest standards of research integrity through a rigorous double-blind peer-review process, guaranteeing the quality and reliability of the published work. As an open-access journal, we provide unrestricted access to all articles, maximizing their global visibility and citation potential. Additionally, our fast-track publication process ensures a swift editorial workflow, enabling the rapid dissemination of innovative AI research. With a strong international presence, JAIEC actively engages a global community of AI researchers, academics, and industry professionals, promoting collaboration and knowledge sharing across diverse domains.
Scope of the Journal
The journal encompasses a broad range of topics within artificial intelligence and evolutionary computation, including but not limited to:
- Machine Learning and Deep Learning
- Neural Networks and Fuzzy Systems
- Evolutionary Algorithms and Genetic Programming
- Natural Language Processing and Computational Linguistics
- Computer Vision and Image Processing
- Reinforcement Learning and Autonomous Agents
- Swarm Intelligence and Bio-inspired Computation
- Big Data Analytics and AI-driven Decision Making
- AI Ethics, Fairness, and Explainability
- Cybersecurity and AI-driven Threat Detection
- Quantum Computing and AI Applications
- Robotics, Automation, and Smart Systems
Journal of Artificial Intelligence and Evolutionary Computation (JAIEC) is committed to advancing AI research, fostering technological innovation, and promoting high-quality discourse in the field of artificial intelligence and computational intelligence, ensuring that the latest breakthroughs reach an engaged and diverse audience worldwide.
h-index
Articles published in Journal of Artificial Intelligence and Evolutionary Computation (JAIEC) have been cited by esteemed scholars and scientists all around the world. JAIEC has got h-index 32 , which means every article in JAIEC has got 32 average citations.
