ACM Transactions on Evolutionary Learning and Optimization | 2024 Cite Score: 6.8 | Q1

About:

• About this Journal:
• Focuses on publishing original research in all areas of evolutionary computation and related fields.
• Encourages contributions that advance theory, methodology, and applications in optimization.
• Provides a platform for interdisciplinary research bridging optimization, machine learning, and artificial intelligence.
• Supports reproducibility and transparency in computational experiments.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Juergen Branke, Manuel López-Ibáñez

Scope:

• Scope of the Journal:
• Evolutionary algorithms and metaheuristics for optimization.
• Bayesian optimization and surrogate modeling techniques.
• Evolutionary reinforcement learning and hybrid optimization methods.
• Applications in logistics, scheduling, healthcare, robotics, and software engineering.
• Feature selection, clustering, and multi-objective optimization.
• Open-ended evolution and complex system design.
• Latest Research Topics for PhD in Artificial Intelligence
• Latest Research Topics for PhD in Computer Science
• Latest Research Topics for PhD in Machine Learning

• Print ISSN:  2688299X

  Electronic ISSN:  26883007

• Abstracting and Indexing:  Scopus

• Imapct Factor :  

• Subject Area and Category:  Artificial Intelligence, Computational Theory and Mathematics, Computer Science Applications, Computer Science (miscellaneous), Computer Vision and Pattern Recognition, Software

• Publication Frequency:  

• H Index:  12

• Best Quartile:

  Q1:  Artificial Intelligence

  Q2:  

  Q3:  

  Q4:  

• Cite Score:  6.8

• SNIP:  2.080

• Journal Rank(SJR):  0.899

• Latest Articles:   Latest Articles in ACM Transactions on Evolutionary Learning and Optimization | 2024 Cite Score: 6.8 | Q1

• Guidelines for Authors: ACM Transactions on Evolutionary Learning and Optimization | 2024 Cite Score: 6.8 | Q1 Author Guidelines

• Paper Submissions: Paper Submissions in ACM Transactions on Evolutionary Learning and Optimization | 2024 Cite Score: 6.8 | Q1

• Publisher:  Association for Computing Machinery

  Country:  United States