In the context of the accelerated integration of artificial intelligence and complex systems science, the cross innovation of intelligent computing, evolutionary algorithms, and swarm intelligence is becoming the core engine driving intelligent optimization. Natural inspired computing - covering paradigms such as evolutionary algorithms, swarm intelligence, neural morphological systems, and quantum inspired optimization - is deeply integrated with parallel and distributed computing platforms, breaking through the bottleneck of traditional optimization methods in solving complex problems. From large-scale global optimization and multi-objective decision-making to adaptive search in dynamic stochastic environments, evolutionary algorithms and swarm intelligence methods demonstrate unique advantages in solving high-dimensional nonlinear, multi-modal, and large-scale constrained optimization problems that are difficult to handle with traditional mathematical methods.
The 3rd International Conference on Intelligent Computing, Evolutionary Algorithms, and Swarm Intelligence (ICEASI 2026) aims to build an interdisciplinary and cross-border high-end academic exchange platform, focusing on core topics such as intelligent computing theory and methods, evolutionary algorithms and genetic programming, swarm intelligence and nature inspired optimization. It brings together experts, scholars, and industry representatives in the fields of intelligent computing, optimization algorithms, artificial intelligence, and related areas from around the world to explore the forefront of innovation in the field of computational intelligence.