Manuscript Topics

As an interdisciplinary subject, artificial intelligence (AI) and computational intelligence (CI) have penetrated into almost all areas of life and society in the past decades, and various intelligence models have been developed to solve practical problems in every imaginable field. At the same time, they present new scientific and practical challenges.

AI and machine learning have had a significant impact on human lives and are helping to improve life. Machine learning is the core of AI, which is an interdisciplinary subject involving probability theory, statistics, optimization, algorithm complexity theory, etc. It mainly studies how computers simulate or realize human learning behavior, so as to acquire new knowledge or skills and realize AI.

As the most important tool to provide effective and efficient solutions for many practical engineering problems, CI attracts increasing attention and presents new and amazing achievements in the fields of engineering, economy, scheduling, etc.

This special issue invites high-quality original research papers and aims to establish a community of authors and readers to discuss the latest research findings in AI and CI: theories, methods and applications. Propose new intelligent applications and models, and connected with practical applications. We will consider any solid theoretical contributions related to AI and CI.

Topics of interest include, but are not limited to:  
• Foundation of Artificial Intelligence
• Machine Learning
• Evolutionary Computation and Neural Network
• Multiple Objective Optimization
• Big Data Processing
• Neural Architecture Search
• Intelligent Systems
• Evolutionary Combinatorial Optimization and Metaheuristics
• Surrogate Model for Optimization
• Complex Network

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