Description

      Nature-Inspired Intelligent Computing draws its essence from the intricate workings of biological, physical, and social systems, seeking to emulate their complexity through innovative computational models and algorithms. Techniques like evolutionary computing, swarm intelligence, artificial immune systems, and other bio-inspired computing aim to mimic the adaptive, self-organizing, and evolutionary principles observed in natural systems, harnessing their inherent efficiency and adaptability. Concurrently, Complex Optimization involves navigating intricate problem spaces characterized by multiple constraints, large-scale decision variables, high dimensional search space, or resource-intensive operations. Therefore, the combination of Nature-Inspired Intelligent Computing and Complex Optimization has great potential to bring some breakthrough approaches to tackle various challenges that exist in the real-world.

    The proposed special session aims to explore the fusion of Nature-Inspired Intelligent Computing, Optimization strategies, and their extensive applications across diverse domains. This session seeks to bring together researchers, practitioners, and experts to delve into innovative methodologies, advancements, and practical implementations in these fields.

Scope and Topics

Type of Methods:

• Evolutionary algorithm
• Particle swarm optimization
• Artificial immune system
• Differential evolution
• Grey wolf optimizer
• Artificial bee colony algorithm
• Reinforcement/Machine/Transfer learning assisted evolutionary paradigm

Type of Problems:

• Single/Multi-objective optimization
• Constraint optimization
• Dynamic optimization
• Large-scale optimization
• Bi-level optimization
• Multimodal optimization
• Expensive optimization

Type of Applications:

• Robotics and autonomous systems
• Cloud computing
• Healthcare and medicine
• Smart cities and urban planning
• Computational biology and bioinformatics
• Cybersecurity and network defense
• Recommendation systems
• UGV/UAV cooperation systems 
• Analyses of complex networks
• Privacy computation
• Discrete optimization in real-world applications

Organizers

Qiuzhen Lin (Shenzhen University), Email:qiuzhlin@szu.edu.cn

Lingjie Li (Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ)), Email:lilingjie@gml.ac.cn

Lijia Ma (Shenzhen University), Email:ljma1990@szu.edu.cn

Zhong Ming (Shenzhen University & Shenzhen Technology University), Email:mingz@szu.edu.cn