This is a Call for Papers for the upcoming Workshop on “Evolutionary Information Processing” scheduled to take place at the International Conference on Neural Information Processing (ICONIP), a CORE B conference.
Workshop Themes are (but not limited):
– Hybrid Evolutionary Computation and ANNs: Development and optimization of systems integrating evolutionary algorithms with neural networks.
– Evolutionary Algorithms in Broader ML Techniques: Application of evolutionary computation to enhance machine learning methods such as reinforcement learning, support vector machines, and decision trees.
– Evolutionary Population-based Optimization: Use of advanced methods, like QANA, for real-world challenges.
– Evolved AI Systems: Exploration of AI systems developed or enhanced through evolutionary approaches, focusing on performance and innovation.
– Genetic Programming: Detailed exploration of genetic programming techniques and their applications in creating robust and adaptive algorithms.
– Theoretical Advancements in Evolutionary Computation: Novel Algorithms, frameworks, and Theoretical insights into Evolutionary Computation and Swarm Intelligence.
This pivotal survey serves as the foundational reference for this workshop: https://dl.acm.org/doi/pdf/10.1145/3467477