ACM Transactions on Evolutionary Learning and Optimization (TELO) is a SCOPUS indexed journal that publishes original papers in all areas of evolutionary computation and related areas such as evolutionary machine learning, evolutionary reinforcement learning, Bayesian optimization, evolutionary robotics and other metaheuristics.
It is particularly interested in papers at the intersection of optimization and machine learning, such as the use of evolutionary optimization for tuning and configuring machine learning algorithms, machine learning to support and configure evolutionary optimization, and hybrids of evolutionary algorithms with other optimization and machine learning techniques.
The deadline for the Special Issue on Integrating Evolutionary Algorithms and Large Language Models has been extended to 15th November.
For more information on the special issue see https://dl.acm.org/pb-assets/static_journal_pages/telo/pdf/ACM-CFP-TELO-LLMs-EAs.pdf
For more information on the journal see https://dlnext.acm.org/journal/telo