Computational Intelligence- Wiley - Impact Factor

Computational Intelligence - Wiley | 2025 Impact Factor:1.9 | Cite Score:5.3 | SCOPUS Q2

Computational Intelligence Journal - Wiley

Impact Factor and Journal Rank of Computational Intelligence

About: The Computational Intelligence journal, published by Wiley, focuses on research and developments in computational methods inspired by nature, including neural networks, evolutionary algorithms, fuzzy systems, and other machine learning techniques. It explores theoretical foundations, practical applications, and interdisciplinary research areas where computational intelligence plays a significant role.
Objective:
The objective of the Computational Intelligence journal is to provide a platform for researchers, practitioners, and academics to publish high-quality research papers, reviews, and applications in the field of computational intelligence. It aims to advance the understanding and utilization of intelligent computing methods across various domains.
Focus Areas:
The journal covers a wide range of topics including, but not limited to: Neural networks and deep learning Evolutionary computation and genetic algorithms Fuzzy systems and fuzzy logic Swarm intelligence and ant colony optimization Hybrid intelligent systems Computational intelligence in data mining and pattern recognition Applications in robotics, control systems, finance, healthcare, and more
Impact:
Computational Intelligence is influential in advancing the field by publishing innovative research that contributes to the theoretical foundations and practical applications of intelligent computing techniques. The journal promotes interdisciplinary collaboration and knowledge exchange among researchers and practitioners.
Significance:
The journal significance lies in its role in fostering advancements in computational intelligence, which are crucial for addressing complex real-world problems and enhancing decision-making processes across various industries. It serves as a valuable resource for academics, professionals, and students interested in cutting-edge developments in AI and machine learning.

Journal Home: Journal Homepage

Editor-in-Chief: Diana Inkpen

Scope: The journal covers a wide range of topics, including but not limited to:
Evolutionary Computation: Genetic algorithms, evolutionary programming, evolutionary strategies, and swarm intelligence.
Artificial Neural Networks: Theory, architectures, learning algorithms, deep learning, and neuro-fuzzy systems.
Fuzzy Systems: Fuzzy logic, fuzzy sets, fuzzy clustering, fuzzy control, and applications in decision-making.
Machine Learning: Supervised and unsupervised learning algorithms, reinforcement learning, ensemble methods, and deep learning techniques.
Natural Computation: Bio-inspired computing methods such as cellular automata, artificial immune systems, and membrane computing.
Optimization Algorithms: Metaheuristics (e.g., particle swarm optimization, ant colony optimization), multi-objective optimization, and optimization in dynamic environments.
Hybrid Intelligent Systems: Integration of different computational intelligence techniques to solve complex problems.
Applications: Real-world applications of computational intelligence in areas such as engineering, finance, healthcare, robotics, and data science.
Theoretical Foundations: Mathematical models, theoretical frameworks, and empirical studies advancing computational intelligence.