Evolutionary Intelligence

Scope & Guideline

Bridging Theory and Practice in Evolving Intelligence

Introduction

Welcome to your portal for understanding Evolutionary Intelligence, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN1864-5909
PublisherSPRINGER HEIDELBERG
Support Open AccessNo
CountryGermany
TypeJournal
Convergefrom 2008 to 2024
AbbreviationEVOL INTELL / Evol. Intell.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressTIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY

Aims and Scopes

The journal 'Evolutionary Intelligence' focuses on the intersection of evolutionary computation techniques and artificial intelligence applications. It aims to publish high-quality research that explores innovative methodologies and algorithms that draw inspiration from natural evolution and intelligence to solve complex problems across various domains.
  1. Evolutionary Algorithms and Metaheuristics:
    The journal extensively covers the development and application of evolutionary algorithms, including genetic algorithms, particle swarm optimization, ant colony optimization, and hybrid algorithms that combine multiple techniques to enhance performance in optimization tasks.
  2. Machine Learning and Deep Learning Applications:
    A significant portion of the research focuses on the integration of evolutionary techniques with machine learning and deep learning methodologies, exploring their applications in areas such as image processing, medical diagnosis, and predictive analytics.
  3. Optimization Problems in Engineering and Technology:
    The journal addresses optimization challenges in engineering systems, including resource allocation, scheduling, and system design, utilizing evolutionary intelligence methods to improve efficiency and effectiveness.
  4. Artificial Intelligence in Real-World Applications:
    Research articles often discuss the application of evolutionary intelligence in solving real-world problems across various sectors, including healthcare, logistics, telecommunications, and environmental management.
  5. Interdisciplinary Approaches:
    The journal encourages interdisciplinary research that combines insights from computer science, biology, mathematics, and engineering to advance the field of evolutionary intelligence.
The journal 'Evolutionary Intelligence' has identified several emerging themes that reflect the evolving interests and challenges within the fields of artificial intelligence and evolutionary computation. These trends indicate a shift towards more complex, integrated, and application-oriented research.
  1. Hybrid Approaches Combining Evolutionary and Deep Learning Techniques:
    There is a growing trend in the integration of evolutionary algorithms with deep learning techniques, highlighting the need for robust models that can adapt and learn from complex datasets, particularly in fields like medical imaging and natural language processing.
  2. Explainable and Interpretable AI:
    Research focusing on making AI models more explainable and interpretable is gaining traction. This trend is crucial as it addresses the challenges of trust and transparency in machine learning applications in sensitive areas such as healthcare and finance.
  3. Sustainability and Environmental Applications:
    Emerging themes include the application of evolutionary intelligence techniques to sustainability challenges, such as optimizing resource usage in renewable energy systems and addressing environmental issues through intelligent data analysis.
  4. Federated Learning and Privacy-Preserving Techniques:
    The interest in federated learning and privacy-preserving techniques is on the rise, reflecting the growing importance of data privacy and security in machine learning applications, particularly in sensitive sectors like healthcare.
  5. Multi-Objective and Many-Objective Optimization:
    Research focusing on multi-objective and many-objective optimization problems is increasingly prominent, indicating a shift towards solving complex real-world problems that involve multiple conflicting objectives.

Declining or Waning

While 'Evolutionary Intelligence' continues to explore a broad range of themes, certain areas appear to be losing prominence in recent publications. This may reflect shifts in the research landscape or changes in technological focus.
  1. Traditional Optimization Techniques:
    There is a noticeable decline in the publication of papers focused solely on traditional optimization techniques that do not incorporate evolutionary aspects. This shift indicates a move towards more integrated and innovative approaches.
  2. Basic Algorithmic Studies:
    Research that focuses primarily on basic algorithmic studies without applying them to complex, real-world problems seems to be less frequent. The trend suggests a preference for studies demonstrating practical applications and implications.
  3. Niche Applications in Specific Domains:
    The focus on niche applications of evolutionary algorithms in specific domains, such as agriculture or niche manufacturing processes, appears to be waning. The journal is trending towards broader applications that have wider implications.

Similar Journals

Computer Science-AGH

Unlocking Potential Through Open Knowledge Sharing
Publisher: AGH UNIV SCIENCE & TECHNOLOGY PRESSISSN: 1508-2806Frequency: 4 issues/year

Computer Science-AGH, published by the AGH University of Science & Technology Press in Poland, is an esteemed open access journal that has been disseminating high-quality research since 2004. With ISSN 1508-2806 and E-ISSN 2300-7036, this journal focuses on a diverse range of areas within the computer science discipline, including but not limited to Artificial Intelligence, Computational Theory, Computer Graphics, and Networks. While it currently holds a Q4 ranking across several categories as of 2023, it actively promotes research that contributes to the academic community's understanding and evolution in the field. The journal's commitment to open access ensures that vital research is accessible to a wider audience, fostering collaboration and innovation. With its comprehensive focus and strategic publication goals, Computer Science-AGH plays a crucial role in advancing the frontiers of computer science research and education, making it an invaluable resource for researchers, professionals, and students alike.

IEEE Computational Intelligence Magazine

Exploring the Frontiers of Computational Intelligence
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCISSN: 1556-603XFrequency: 4 issues/year

IEEE Computational Intelligence Magazine, published by the esteemed IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, is an essential resource for researchers and professionals in the fields of Artificial Intelligence and Theoretical Computer Science. With a robust Q1 ranking in both categories for 2023, this magazine stands out as a leader in disseminating cutting-edge research and innovative applications within computational intelligence. As an invaluable conduit for knowledge, it covers a diverse range of topics, including but not limited to machine learning, neural networks, and data mining. The magazine is particularly recognized for its interdisciplinary approach, bridging gaps between theory and application while contributing to advancements in technology and society. Although it does not offer open access, the insights provided are critical for staying at the forefront of this rapidly evolving discipline. Join a community of like-minded scholars and practitioners by exploring the latest findings and trends published from 2006 to 2024, operating from its headquarters at 445 Hoes Lane, Piscataway, NJ, United States.

Swarm and Evolutionary Computation

Pioneering Research at the Intersection of Nature and Technology.
Publisher: ELSEVIERISSN: 2210-6502Frequency: 8 issues/year

Swarm and Evolutionary Computation is an esteemed academic journal published by Elsevier, dedicated to the exploration of innovative algorithms and methodologies derived from principles of swarm intelligence and evolutionary computation. With its ISSN 2210-6502 and E-ISSN 2210-6510, this journal has earned a prominent position in the field, evidenced by its Q1 category rankings in both Computer Science and Mathematics for 2023, reflecting its high impact and relevance. The journal's Scopus rankings further underscore its significance, placing it in the top percentile of mathematics and computer science journals. As an open-access platform, it aims to disseminate groundbreaking research that addresses real-world challenges and fosters interdisciplinary collaboration. Researchers, professionals, and students are encouraged to engage with this journal to contribute to and benefit from the ongoing advancements in swarm intelligence and evolutionary methods, which have become instrumental in solving complex optimization problems across diverse fields.

EVOLUTIONARY COMPUTATION

Pioneering Research in Evolutionary Strategies
Publisher: MIT PRESSISSN: 1063-6560Frequency: 4 issues/year

EVOLUTIONARY COMPUTATION, published by MIT PRESS, is a premier journal in the field of Computational Mathematics, holding a distinguished Q1 ranking in the 2023 category and an impressive 87th percentile in Scopus rankings for Computational Mathematics. Since its inception in 1996, the journal has served as a critical platform for presenting cutting-edge research and development in the applications and theory of evolutionary algorithms. Recognized for its rigorous peer-review process, EVOLUTIONARY COMPUTATION invites contributions that advance the understanding of algorithmic strategies inspired by natural evolution, thereby playing a significant role in the scientific community. The journal is pivotal for researchers, professionals, and students aiming to explore innovative methodologies and applications of evolutionary techniques in diverse fields. With a focus on fostering collaboration and knowledge dissemination, this journal not only serves the academic community but also impacts industry practices, encouraging the integration of these evolutionary approaches into real-world problems.

Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence

Exploring the Frontiers of AI Innovation.
Publisher: ASOC ESPANOLA INTELIGENCIA ARTIFICIALISSN: 1137-3601Frequency: 2 issues/year

Inteligencia Artificial-Iberoamerican Journal of Artificial Intelligence, published by the ASOC ESPANOLA INTELIGENCIA ARTIFICIAL, serves as a pivotal platform for disseminating cutting-edge research in the burgeoning fields of artificial intelligence and software development. Established in 1997 as an Open Access journal, it ensures broad accessibility to its scholarly content, thus fostering collaboration and knowledge exchange amongst researchers, professionals, and students across the globe. Based in Valencia, Spain, the journal currently operates within a significant timeline spanning from 2004 to 2010 and 2012 to 2024, enabling continual contributions to the academic discourse. Although it holds a Q4 quartile ranking in both the Artificial Intelligence and Software categories and a notable yet competitive Scopus ranking among its peers, the journal remains committed to advancing the understanding and application of sophisticated AI methodologies. As it continues to embrace innovative research, this journal stands as a crucial reference point for those keenly navigating the complexities of artificial intelligence in a rapidly evolving digital landscape.

International Journal of Combinatorial Optimization Problems and Informatics

Fostering Global Collaboration in Optimization Research.
Publisher: INT JOURNAL COMBINATORIAL OPTIMIZATION PROBLEMS & INFORMATICSISSN: 2007-1558Frequency: 3 issues/year

The International Journal of Combinatorial Optimization Problems and Informatics is a pivotal publication in the realm of combinatorial optimization and its practical applications. Published by the INT JOURNAL COMBINATORIAL OPTIMIZATION PROBLEMS & INFORMATICS, this journal serves as a platform for disseminating high-quality research that bridges theoretical insights and real-world implementation in informatics. With a focus on innovative problem-solving approaches and computational techniques, the journal aims to advance knowledge and foster collaboration among researchers, professionals, and students globally. Despite its relatively recent inception, the journal aspires to carve out a significant niche in the academic community, catering to an audience dedicated to exploring complex combinatorial challenges. The emphasis on open access facilitates broader dissemination of research, promoting inclusivity and engagement within the field. As the significance of combinatorial optimization continues to grow across various disciplines, this journal stands as a valuable resource for cutting-edge research and scholarly discussion.

NEURAL COMPUTING & APPLICATIONS

Transforming Ideas into Impactful Applications
Publisher: SPRINGER LONDON LTDISSN: 0941-0643Frequency: 12 issues/year

NEURAL COMPUTING & APPLICATIONS is a premier journal dedicated to the burgeoning fields of Artificial Intelligence and Software Engineering, published by Springer London Ltd. Established in 1993, the journal serves as a pivotal platform for disseminating cutting-edge research and innovative applications in neural computing, covering a broad range of topics from algorithm development to real-world applications. With its impressive categorization in the 2023 Journal Quartiles—ranging Q2 in Artificial Intelligence and Q1 in Software—it stands out in its discipline, ranking 42nd out of 407 in Computer Science Software and 50th out of 350 in Computer Science Artificial Intelligence, reflecting its significant impact in the academic community. Although not an open access journal, it provides vital access to significant findings and methodologies that drive advancements in technology. Researchers, professionals, and students looking to stay abreast of the most relevant and impactful developments in these fields will find NEURAL COMPUTING & APPLICATIONS an indispensable resource.

KNOWLEDGE-BASED SYSTEMS

Empowering Research at the Intersection of Knowledge and Technology
Publisher: ELSEVIERISSN: 0950-7051Frequency: 8 issues/year

KNOWLEDGE-BASED SYSTEMS, published by ELSEVIER, is a leading international journal that has established itself as a cornerstone in the fields of Artificial Intelligence, Information Systems and Management, and Software Development. With an impressive track record of over 35 years in publication, this journal is highly regarded for its significant contributions to the understanding and advancement of intelligent systems, providing a platform for innovative research and applications. It boasts a strong impact factor, maintaining a Q1 ranking across multiple categories, including Management Information Systems and Decision Sciences, reflecting its prestige and relevance in the academic community. Researchers and practitioners alike benefit from access to high-quality, peer-reviewed articles that explore the intersection of knowledge management and transformative technologies. The journal's commitment to fostering interdisciplinary research encourages the dissemination of knowledge that shapes the future of intelligent decision-making processes. With a substantial audience that includes professionals, academics, and students, KNOWLEDGE-BASED SYSTEMS continues to be a vital resource for those at the frontier of technological advancement.

JOURNAL OF COMBINATORIAL OPTIMIZATION

Elevating the discourse in discrete mathematics and optimization.
Publisher: SPRINGERISSN: 1382-6905Frequency: 8 issues/year

JOURNAL OF COMBINATORIAL OPTIMIZATION, published by Springer, stands at the forefront of research in the fields of applied mathematics, computational theory, and combinatorial optimization. With an ISSN of 1382-6905 and E-ISSN of 1573-2886, this esteemed journal serves as a vital platform for groundbreaking studies and methodologies from 1997 to 2024. Notably positioned in the Q3 quartile across several categories, including applied mathematics and discrete mathematics, it reflects a commitment to high-quality research that pushes the boundaries of knowledge in quantitative analysis and algorithm development. Although it does not offer open access, its visibility and impact are underscored by impressive Scopus rankings, such as the 67th percentile in discrete mathematics and combinatorics. The journal aims to foster a comprehensive understanding of combinatorial optimization and its applications, making it an indispensable resource for researchers, professionals, and students eager to stay abreast of the latest trends and advancements in these dynamic disciplines.

Computer Science Journal of Moldova

Advancing Knowledge in Artificial Intelligence and Beyond
Publisher: INST MATHEMATICS & COMPUTER SCIENCE ACADISSN: 1561-4042Frequency: 3 issues/year

Computer Science Journal of Moldova, published by the Institute of Mathematics and Computer Science Academy, serves as a pivotal platform for disseminating research in the field of computer science since its inception in 1993. With a focus on a diverse range of subjects, including Artificial Intelligence, Computational Mathematics, and Software Engineering, this open access journal aims to foster innovation and collaboration among researchers, students, and industry professionals. Despite its current positioning in the lower quartiles as per the latest Scopus rankings, the journal remains committed to enhancing the visibility of regional research and addressing contemporary challenges through scholarly contributions. The journal’s open access model ensures that knowledge is freely available, promoting broader readership and impact within the international academic community. As it moves through the converged years from 2019 to 2024, the Computer Science Journal of Moldova continues to aspire toward empowering the next generation of computer scientists while enriching the global dialogue in this rapidly evolving field.