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Applied Computational Intelligence and Soft Computing - Hindawi | 2024 Impact Factor: 2.9 | Cite Score:8.9 | Q1

Applied Computational Intelligence and Soft Computing Journal With Cite Score

Cite Score and Journal Rank of Applied Computational Intelligence and Soft Computing

  • About: The Applied Computational Intelligence and Soft Computing Journal is a peer-reviewed publication that focuses on the application of computational intelligence and soft computing techniques to solve complex real-world problems. It provides a platform for researchers, practitioners, and developers to publish original research articles, reviews, and case studies that demonstrate the effectiveness of these methods in various domains.
  • Objective:
    The primary objective of the journal is to promote the use of computational intelligence and soft computing techniques in practical applications. It aims to disseminate high-quality research that showcases innovative solutions and advancements in fields such as optimization, machine learning, fuzzy logic, neural networks, and evolutionary algorithms.
  • Topics Covered:
    The Applied Computational Intelligence and Soft Computing Journal covers a broad range of topics including: Artificial neural networks and deep learning Fuzzy systems and fuzzy logic applications Evolutionary computation and genetic algorithms Swarm intelligence and particle swarm optimization Hybrid computational intelligence approaches Intelligent data analysis and pattern recognition Real-world applications in engineering, healthcare, finance, and more Soft computing techniques for decision-making and control systems Optimization algorithms and their applications Case studies demonstrating the application of computational intelligence
  • Impact:
    The journal has a significant impact on both academia and industry by promoting research that applies computational intelligence and soft computing methods to solve practical problems. Its publications contribute to the development of innovative techniques and tools that enhance the efficiency and effectiveness of problem-solving in various fields.
  • Significance:
    The Applied Computational Intelligence and Soft Computing Journal is significant in advancing the field of computational intelligence by providing a forum for high-quality, peer-reviewed research. By focusing on the practical applications of these techniques, the journal supports the development of cutting-edge solutions that drive progress in multiple industries and scientific disciplines.

  • Editor-in-Chief:  Shyi-Ming Chen

  • Scope: Applied Computational Intelligence and Soft Computing Journal focuses on the application of computational intelligence and soft computing techniques to solve real-world problems. The journal covers a wide range of topics, including but not limited to fuzzy systems, neural networks, evolutionary computing, and hybrid systems. Here are the key areas typically covered:
  • 1. Fuzzy Systems
    Research on fuzzy logic, fuzzy set theory, and fuzzy systems
    Studies on the application of fuzzy systems in control, decision-making, and pattern recognition
    Development of new fuzzy methodologies and algorithms
  • 2. Neural Networks
    Research on artificial neural networks and deep learning
    Studies on neural network architectures, training methods, and optimization
    Development of neural network applications in image processing, natural language processing, and robotics
  • 3. Evolutionary Computing
    Research on genetic algorithms, genetic programming, and evolutionary strategies
    Studies on the application of evolutionary computing in optimization, search, and machine learning
    Development of hybrid evolutionary algorithms for complex problem-solving
  • 4. Swarm Intelligence
    Research on swarm intelligence techniques, including ant colony optimization and particle swarm optimization
    Studies on the application of swarm intelligence in routing, scheduling, and clustering
    Development of new swarm-based algorithms for real-world applications
  • 5. Hybrid Systems
    Research on hybrid systems combining multiple computational intelligence techniques
    Studies on the integration of fuzzy systems, neural networks, and evolutionary computing
    Development of hybrid algorithms for enhanced performance and robustness
  • 6. Machine Learning
    Research on machine learning algorithms and their applications
    Studies on supervised, unsupervised, and reinforcement learning
    Development of machine learning models for data analysis, prediction, and classification
  • 7. Optimization Techniques
    Research on optimization methods and their applications
    Studies on multi-objective optimization, constraint handling, and metaheuristics
    Development of optimization algorithms for engineering, economics, and logistics
  • 8. Intelligent Systems
    Research on the design and implementation of intelligent systems
    Studies on intelligent control systems, decision support systems, and expert systems
    Development of intelligent systems for industrial automation, healthcare, and transportation
  • 9. Data Mining and Knowledge Discovery
    Research on data mining techniques and knowledge discovery in databases
    Studies on the application of data mining in business, bioinformatics, and social networks
    Development of new algorithms for data clustering, classification, and association rule mining
  • 10. Real-World Applications
    Research on the practical application of computational intelligence techniques
    Case studies demonstrating the impact and utility of computational intelligence in various domains
    Development of solutions for complex problems in engineering, finance, and medicine
  • Latest Research Topics for PhD in Machine Learning

  • Print ISSN:  1687-9724

    Electronic ISSN:  1687-9732

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2024:  2.9

  • Subject Area and Category:   Computer Science, Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, Engineering, Civil and Structural Engineering, Computational Mechanics

  • Publication Frequency:  

  • H Index:  26

  • Best Quartile:

    Q1:  Civil and Structural Engineering

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  8.9

  • SNIP:  1.261

  • Journal Rank(SJR):  0.602