Evolving Systems

Scope & Guideline

Exploring the Dynamics of Adaptive Systems

Introduction

Welcome to the Evolving Systems information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of Evolving Systems, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN1868-6478
PublisherSPRINGER HEIDELBERG
Support Open AccessNo
CountryGermany
TypeJournal
Convergefrom 2010 to 2024
AbbreviationEVOL SYST-GER / Evol. Syst.
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 'Evolving Systems' primarily focuses on the integration of advanced computational techniques and methodologies to address complex problems across various domains. It emphasizes the application of evolutionary algorithms, machine learning, and adaptive systems in both theoretical and practical aspects.
  1. Evolutionary Algorithms and Optimization Techniques:
    The journal explores the development and application of evolutionary algorithms, including genetic algorithms, particle swarm optimization, and hybrid optimization methods to solve complex engineering problems and optimize system performance.
  2. Machine Learning and Deep Learning Applications:
    A significant focus is placed on machine learning and deep learning methodologies, particularly their application in medical imaging, anomaly detection, and classification tasks across various fields.
  3. Adaptation and Learning in Dynamic Environments:
    Research that involves adaptive learning systems capable of evolving in response to changing environments or data streams is a core area, highlighting the importance of flexibility and robustness in system design.
  4. Multi-Agent Systems and Reinforcement Learning:
    The journal features studies on multi-agent systems and reinforcement learning, investigating how intelligent agents can collaboratively solve problems, optimize resource allocation, and enhance decision-making processes.
  5. Interdisciplinary Applications and Innovations:
    There is a consistent emphasis on interdisciplinary approaches, applying evolving systems concepts to fields such as healthcare, energy management, and smart city technologies, thereby contributing unique insights and solutions.
The journal 'Evolving Systems' has seen a shift towards several emerging themes that reflect current trends in technology and research methodologies.
  1. Integration of AI and IoT Technologies:
    Recent publications indicate a growing trend in combining artificial intelligence with Internet of Things (IoT) technologies, focusing on smart systems that enhance efficiency and decision-making in real-time.
  2. Healthcare Innovations through Deep Learning:
    There is a notable increase in research related to healthcare applications, particularly using deep learning for medical image analysis, disease prediction, and patient monitoring systems.
  3. Sustainable Energy Solutions:
    Emerging themes include the exploration of sustainable energy management systems, utilizing optimization techniques to enhance the performance of renewable energy sources and smart grid technologies.
  4. Explainable AI and Model Interpretability:
    An increasing focus on developing explainable AI models that provide insights into decision-making processes is evident, highlighting the importance of transparency in AI applications.
  5. Dynamic and Adaptive Systems:
    Research on systems that can adapt dynamically to changes in their environment or operational context is trending, emphasizing the need for resilience and flexibility in system design.

Declining or Waning

While 'Evolving Systems' has a strong emphasis on certain emerging themes, some areas of focus appear to be waning in prominence based on recent publications.
  1. Traditional Fuzzy Logic Applications:
    Although fuzzy logic remains a foundational concept, its application in novel contexts has decreased, as more emphasis is placed on machine learning and deep learning methodologies.
  2. Basic Statistical Methods in Data Analysis:
    There seems to be a decline in the use of traditional statistical analysis methods, as researchers increasingly favor advanced computational techniques that provide more robust and scalable solutions.
  3. Single-Domain Optimization Problems:
    Research focusing on single-domain optimization problems is less prevalent, with a shift towards multi-disciplinary and multi-objective optimization frameworks that address more complex, real-world challenges.

Similar Journals

IEEE Computational Intelligence Magazine

Pioneering Research for a Smarter Tomorrow
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.

Journal of Applied Mathematics

Exploring mathematical applications across disciplines.
Publisher: HINDAWI LTDISSN: 1110-757XFrequency: 1 issue/year

Journal of Applied Mathematics, published by HINDAWI LTD, is a prominent open-access journal dedicated to advancing the field of applied mathematics. Since its inception in 2001, it has provided a vital platform for researchers and practitioners to share their findings in various areas of applied mathematical theory and its applications across disciplines. With an ISSN of 1110-757X and an E-ISSN of 1687-0042, the journal has established a respectable position within the academic community, evidenced by its ranking of #255 out of 635 in the Scopus Ranks for applied mathematics, placing it in the 59th percentile. Featuring a Q3 category quartile as of 2023, it aims to foster innovative research that bridges theoretical mathematics with real-world applications. Researchers, students, and professionals can freely access its content, promoting a collaborative approach to knowledge dissemination. With a commitment to high-quality research, the Journal of Applied Mathematics continues to play a crucial role in the evolution of applied mathematical methodologies and practices.

CYBERNETICS AND SYSTEMS ANALYSIS

Transforming Ideas into Impactful Systems Analysis
Publisher: SPRINGERISSN: 1060-0396Frequency: 6 issues/year

CYBERNETICS AND SYSTEMS ANALYSIS is a distinguished journal published by Springer, focusing on innovative research and developments in the fields of cybernetics, systems analysis, and their applications within computer science. With an ISSN of 1060-0396 and E-ISSN of 1573-8337, this journal serves as a critical platform for disseminating groundbreaking ideas that drive advancements in computational theories and practices. Although it operates under a subscription model, the journal is highly regarded with a Q3 ranking in computer science, as of 2023, highlighting its relevance in the academic community. Covering a broad scope from the convergence years of 1991–2001 and 2003, and extending its reach from 2005 through 2024, CYBERNETICS AND SYSTEMS ANALYSIS plays a pivotal role in fostering dialogue and collaboration among researchers, professionals, and students, aiming to merge theory with practical applications in cybernetics and systems thinking.

International Journal of Computational Intelligence Systems

Pioneering Innovations in Intelligent Systems
Publisher: SPRINGERNATUREISSN: 1875-6891Frequency: 1 issue/year

International Journal of Computational Intelligence Systems, published by SPRINGERNATURE, is a leading open-access journal that has been at the forefront of research in the field of computational intelligence since 2008. With an ISSN of 1875-6891 and an E-ISSN of 1875-6883, this journal occupies a prominent place in the academic landscape, achieving impressive rankings in its categories: Q2 in both Computational Mathematics and Computer Science (miscellaneous), reflecting its significance and relevance to researchers, professionals, and students. Based in Switzerland, the journal is committed to disseminating high-quality research and fostering innovation in computational methodologies, algorithms, and applications. Its strong impact factor and Scopus rankings—31/189 in Computational Mathematics and 53/232 in General Computer Science—underscore its critical role in advancing knowledge in these interdisciplinary fields. As an open-access journal, it provides unparalleled accessibility to cutting-edge research, supporting the global community in staying at the forefront of computational intelligence advancements.

IEEE Canadian Journal of Electrical and Computer Engineering

Bridging Theory and Practice in Engineering Research
Publisher: IEEE CANADAISSN: Frequency: 4 issues/year

Welcome to the IEEE Canadian Journal of Electrical and Computer Engineering, an esteemed publication by IEEE CANADA, dedicated to advancing the field of electrical and computer engineering. Since its inception in 2021, this journal has served as a vital platform for scholarly communication, encouraging the dissemination of innovative research and practical applications within the realms of electrical and electronic engineering, as well as hardware and architecture. With an impressive Q3 ranking in both categories for 2023, the journal is gaining recognition among academics and professionals alike, asserting a solid position within the competitive landscape of engineering publications. The journal is accessible as an open access resource, ensuring that groundbreaking studies are made available to a global audience, fostering collaboration and knowledge transfer. Published in Canada, the journal aims to highlight research from this vibrant region while also welcoming contributions from international experts, ultimately propelling scholarly discourse in electrical and computer engineering forward.

Memetic Computing

Transforming Ideas into Computational Breakthroughs
Publisher: SPRINGER HEIDELBERGISSN: 1865-9284Frequency: 4 issues/year

Memetic Computing is a premier academic journal published by SPRINGER HEIDELBERG, dedicated to advancing research in the interdisciplinary domains of computer science and control optimization. With an impact factor that places it in the prestigious Q1 category for both Computer Science and Control and Optimization as of 2023, Memetic Computing stands at the forefront of innovation, offering researchers, professionals, and students a vital platform to explore and disseminate transformative findings in these rapidly evolving fields. With convergence periods specified from 2009 to 2024, the journal aims to illustrate the synergy between algorithmic and natural systems, reflecting current trends and future trajectories within the scope of memetic algorithms. Its robust Scopus rankings signal its significance as an influential resource within the global academic community. This journal is invaluable for those looking to enhance their understanding and engage with cutting-edge research that blends computational theory with practical applications.

Information Technology and Control

Exploring the frontiers of computer science and engineering.
Publisher: KAUNAS UNIV TECHNOLOGYISSN: 1392-124XFrequency: 2 issues/year

Information Technology and Control, published by Kaunas University of Technology, is a prominent open access journal dedicated to the fields of computer science, control and systems engineering, and electrical and electronic engineering. With an ISSN of 1392-124X and a notable reputation, the journal has continuously contributed to the dissemination of innovative research since its establishment in 2008. As of 2023, it ranks in the Q3 quartile for Computer Science Applications and in the Q2 quartile for both Control and Systems Engineering and Electrical and Electronic Engineering, reflecting its growing influence in these disciplines. The journal provides a platform for the latest developments in technologies driving the industry forward and encourages an interdisciplinary approach to problem-solving. With open-access solutions implemented in 2020, it ensures that research findings are readily accessible to a global audience, supporting knowledge transfer and collaboration among researchers, professionals, and students alike. This inaugural introduction underscores the journal's commitment to fostering innovation and excellence in the rapidly evolving landscape of information technology and control.

MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING

Navigating Complex Systems with Precision and Expertise
Publisher: SPRINGERISSN: 0923-6082Frequency: 4 issues/year

MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING is a reputable journal published by SPRINGER that focuses on the interdisciplinary fields of applied mathematics, signal processing, artificial intelligence, and their applications in computer science. Since its inception in 1990, the journal has consistently contributed to advancing both theoretical and practical aspects of multi-dimensional systems and signal processing, making it an essential resource for researchers and practitioners alike. With an impressive 2023 ranking of Q2 in Applied Mathematics and notable positions in multiple computer science categories within Scopus, it demonstrates significant impact and relevance in its field. The journal addresses a wide range of innovative topics, providing a platform for high-quality research that explores complex systems and algorithms. Although not an open access publication, it offers various options for researchers seeking to disseminate their work in a highly regarded venue, ensuring visibility and engagement with the scientific community. Whether you are a seasoned expert or an emerging scholar, MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING is dedicated to fostering collaboration and dissemination of knowledge in the ever-evolving landscape of technology and applied science.

Evolutionary Intelligence

Fostering Innovation Through Interdisciplinary Collaboration
Publisher: SPRINGER HEIDELBERGISSN: 1864-5909Frequency: 4 issues/year

Evolutionary Intelligence is a prestigious journal published by Springer Heidelberg, dedicated to the interdisciplinary study of Artificial Intelligence, Cognitive Neuroscience, Computer Vision, and Mathematics. With its ISSN 1864-5909 and E-ISSN 1864-5917, the journal has established a significant presence in the academic community since its inception in 2008. Spanning a diverse range of topics relevant to both theoretical and empirical research, it has achieved impressive rankings, including Q3 in Artificial Intelligence and Cognitive Neuroscience, and Q2 in Computer Vision and Pattern Recognition as of 2023. With a strong Scopus ranking that places it in the top quartiles of its field, Evolutionary Intelligence serves as an essential platform for scholars and practitioners seeking to advance knowledge and foster innovation in these dynamic fields. Researchers, professionals, and students alike will find invaluable insights and cutting-edge findings that challenge existing paradigms and inspire future explorations in intelligence-related studies.

COMPUTATIONAL INTELLIGENCE

Advancing the Frontiers of Artificial Intelligence and Mathematics
Publisher: WILEYISSN: 0824-7935Frequency: 6 issues/year

COMPUTATIONAL INTELLIGENCE is a prestigious, peer-reviewed journal published by Wiley, dedicated to advancing the field of artificial intelligence and computational mathematics since its inception in 1985. With an impressive track record reflected in its Q2 ranking in both the Artificial Intelligence and Computational Mathematics categories for 2023, this journal is a leading resource for researchers, professionals, and students seeking to explore cutting-edge methodologies, theories, and applications that underpin computational intelligence. The journal is indexed in Scopus, holding a remarkable rank of 18/189 in Computational Mathematics, placing it in the top 10% of its field, and ranks 111/350 in Artificial Intelligence. Although it does not offer open access, articles are readily accessible for institutions, ensuring a wide outreach within the academic community. With its commitment to fostering innovation and critical thought, COMPUTATIONAL INTELLIGENCE continues to be an essential platform for disseminating high-quality research that shapes the future of technology and mathematics.