Dear Colleagues,

Computational intelligence (CI) has emerged as a dynamic and multidisciplinary field that encompasses various computational techniques inspired by nature, human cognition, and collective behavior. This Special Issue aims to showcase the latest advancements and applications in CI, highlighting its significance in solving complex real-world problems across diverse domains.

CI encompasses a wide spectrum of techniques including neural networks, evolutionary algorithms, fuzzy systems, swarm intelligence, and more. These techniques enable machines to learn, adapt, and make decisions in dynamic and uncertain environments. Over the years, CI has demonstrated its effectiveness in tackling intricate challenges such as optimization, pattern recognition, data mining, decision-making, control systems, and beyond.

The integration of CI approaches into various applications has led to remarkable breakthroughs. From healthcare and finance to manufacturing and autonomous systems, CI has played a pivotal role in enhancing efficiency, accuracy, and automation. Moreover, as the body of data continues to grow exponentially, CI techniques are invaluable in extracting meaningful insights from massive datasets, thereby contributing to the advancement of artificial intelligence.

This Special Issue aims to explore the latest advancements and applications of CI across various domains, with a particular focus on power systems. We invite researchers, practitioners, and experts to contribute their original research on the integration of CI techniques in solving complex problems. Topics of interest include, but are not limited to:

• Automatic CI algorithm design for industry
• CI for multiobjective/multimodal/multitasking/multifactorial/multi-fidelity optimization
• CI-enhanced evolutionary computation
• CI-enhanced neural architecture search/feature selection/community detection
• CI-based load forecasting and energy management
• Evolutionary algorithms for optimal power generation and distribution
• Swarm intelligence for management in smart grids
• CI-powered fault detection and diagnosis in power systems
• Hybrid CI approaches for renewable energy integration
• CI in energy trading and market optimization
• CI-enhanced cybersecurity for power infrastructure
• Applications of CI in energy-efficient systems and sustainability
• CI techniques in engineering design
• CI-driven smart grid optimization and control

This Special Issue invites researchers, practitioners, and experts from academia and industry to contribute original research, reviews, and case studies that push the boundaries of CI. We encourage submissions that explore novel algorithms, theoretical frameworks, hybrid methodologies, and successful applications of CI in both traditional and emerging fields. We look forward to reading your contributions to this Special Issue, poised to deepen the understanding and application of computational intelligence in overcoming real-world complexities.

Dr. Cheng He
Prof. Dr. Handing Wang
Dr. Ye Tian
Dr. Chuanji Zhang
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• computational intelligence
• evolutionary algorithm
• machine learning
• pattern recognition
• complex optimization