Swarm and Evolutionary Computation

Scope & Guideline

Unleashing Nature's Wisdom in Computational Science.

Introduction

Immerse yourself in the scholarly insights of Swarm and Evolutionary Computation with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN2210-6502
PublisherELSEVIER
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 2011 to 2024
AbbreviationSWARM EVOL COMPUT / Swarm Evol. Comput.
Frequency8 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The journal 'Swarm and Evolutionary Computation' focuses on the development, application, and theoretical foundations of swarm intelligence and evolutionary computation methodologies. It serves as a platform for advancing the understanding of algorithms inspired by natural processes, particularly in optimization and problem-solving contexts.
  1. Swarm Intelligence Techniques:
    The journal emphasizes research on algorithms inspired by the behavior of natural swarms, such as ant colonies, bee swarms, and flocks of birds, focusing on their application in optimization problems.
  2. Evolutionary Algorithms:
    It covers a wide range of evolutionary algorithms, including genetic algorithms, differential evolution, and memetic algorithms, particularly their adaptations and hybridizations for solving complex optimization problems.
  3. Multi-objective Optimization:
    A significant focus is placed on multi-objective optimization, exploring techniques that help in finding optimal trade-offs among conflicting objectives, which is crucial in real-world applications.
  4. Hybrid Methods:
    The journal highlights research on hybrid methods that combine various optimization techniques, including machine learning, metaheuristics, and swarm intelligence, to enhance performance in solving complex problems.
  5. Applications in Diverse Fields:
    Research articles often showcase applications of swarm and evolutionary algorithms across various domains, including engineering, logistics, healthcare, and artificial intelligence, demonstrating their versatility and effectiveness.
  6. Theoretical Foundations:
    The journal also publishes theoretical studies that advance the understanding of algorithmic performance, convergence properties, and the mathematical underpinnings of swarm and evolutionary techniques.
The journal has been expanding its focus on several trending and emerging themes that reflect the current research landscape in swarm and evolutionary computation. These themes highlight innovative methodologies and applications that are gaining traction.
  1. Deep Learning Integration:
    There is a growing trend in integrating deep learning techniques with evolutionary algorithms and swarm intelligence, which facilitates enhanced optimization capabilities, particularly in complex, high-dimensional spaces.
  2. Reinforcement Learning Approaches:
    Research combining reinforcement learning with evolutionary computation is on the rise, showcasing how these methodologies can complement each other for improved adaptive optimization in dynamic environments.
  3. Surrogate-Assisted Optimization:
    Surrogate models are increasingly being utilized to enhance the efficiency of evolutionary algorithms, particularly in expensive optimization scenarios, reflecting a shift towards more resource-efficient techniques.
  4. Real-time and Adaptive Optimization:
    A significant increase in research focusing on real-time optimization and adaptive algorithms that can respond to changing conditions and requirements in various applications is evident.
  5. Hybrid Multi-objective Optimization Techniques:
    There is a notable trend towards hybrid approaches that combine multiple optimization strategies to tackle complex multi-objective problems, indicating a shift towards more sophisticated and versatile solutions.
  6. Applications in Emerging Technologies:
    The journal is seeing more applications of swarm and evolutionary algorithms in emerging fields such as IoT, smart manufacturing, and healthcare, reflecting the growing importance of these technologies in addressing contemporary challenges.

Declining or Waning

While the journal continues to thrive in several areas, some themes have shown signs of declining prominence in recent publications. This could be due to evolving research interests or saturation in specific problem domains.
  1. Traditional Genetic Algorithms:
    There has been a noticeable decrease in the publication of research solely focused on traditional genetic algorithms without integration or hybridization with other techniques, indicating a shift towards more innovative approaches.
  2. Basic Swarm Optimization Techniques:
    Simple implementations of swarm optimization methods, such as basic Particle Swarm Optimization (PSO) without enhancements or adaptations, appear less frequently, as researchers move towards more complex and hybridized methodologies.
  3. Single-objective Optimization Problems:
    There is a diminishing focus on single-objective optimization problems, as the research community increasingly emphasizes multi-objective and many-objective optimization challenges, reflecting a broader trend towards addressing complex real-world scenarios.
  4. Static Problem Assumptions:
    Research assuming static problem conditions is becoming less common, as the field progresses towards dynamic optimization problems that account for changing environments and constraints.

Similar Journals

New Mathematics and Natural Computation

Catalyzing Interdisciplinary Dialogue in Mathematics and Computing
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTDISSN: 1793-0057Frequency: 3 issues/year

New Mathematics and Natural Computation, published by World Scientific Publishing Co Pte Ltd, is a pivotal journal in the realms of applied mathematics and computational theories, catering to a diverse audience of researchers, professionals, and students. With an ISSN of 1793-0057 and E-ISSN 1793-7027, this journal serves as a critical platform for disseminating innovative research and methods that intertwine mathematical theories with natural computation processes. Operating from Singapore, it emphasizes accessibility and collaboration in advancing interdisciplinary knowledge, despite its current Q4 rankings across relevant categories such as Applied Mathematics and Human-Computer Interaction—highlighting the journal’s commitment to growth and improvement in a competitive publishing landscape. As a source of insightful findings and applications in mathematics and computer science, it invites contributors to explore the dynamic intersections between these fields and foster academic dialogue. Researchers aiming to engage with cutting-edge advancements will find this journal instrumental for their work from its inaugural issue in 2012 through its projected publications into 2024.

IEEE Computational Intelligence Magazine

Innovating the Future of Artificial Intelligence Research
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.

International Journal of Computational Intelligence and Applications

Advancing the Frontier of Computational Intelligence
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTDISSN: 1469-0268Frequency: 4 issues/year

The International Journal of Computational Intelligence and Applications, published by WORLD SCIENTIFIC PUBL CO PTE LTD, is a prominent journal dedicated to advancing the field of computational intelligence and its applications, with a keen focus on innovative methodologies and theoretical frameworks. With an impact factor reflective of its growing influence, the journal is classified in Q3 for Computer Science Applications and holds Q4 standings in both Software and Theoretical Computer Science as of 2023, showcasing its critical niche within these disciplines. Established in 2008 and converging through 2024, this journal serves as a vital resource for researchers, professionals, and students in Singapore and beyond, promoting scholarly communication and collaboration. Although it is a non-open access journal, it still provides a wealth of information that is readily accessible through institutional subscriptions and library resources. Researchers contributing to the journal benefit from its wide reach and dedicated readership, making it a substantial platform to disseminate groundbreaking research and insights.

ACM Transactions on Computation Theory

Fostering Collaboration in Cutting-edge Computational Research.
Publisher: ASSOC COMPUTING MACHINERYISSN: 1942-3454Frequency: 4 issues/year

ACM Transactions on Computation Theory, published by the Association for Computing Machinery, is a prestigious journal dedicated to advancing the field of computation theory and theoretical computer science. With an ISSN of 1942-3454 and an E-ISSN of 1942-3462, this journal serves as a vital resource for researchers and professionals seeking to explore groundbreaking developments in computational models, algorithms, and their mathematical foundations. The journal's rigorous standards have earned it a significant position within the academic community, as evidenced by its 2023 category quartiles, ranking in the Q1 category for Computational Theory and Mathematics and Q2 for Theoretical Computer Science. Although it operates through traditional subscription access, it maintains a critical role in disseminating cutting-edge research and fostering collaboration among experts in the United States and beyond. As an influential platform, ACM Transactions on Computation Theory is committed to contributing to the ongoing dialogue and advancement of computation theory, making it essential reading for anyone passionate about this dynamic field.

Natural Computing

Innovating Through Nature's Computational Wisdom
Publisher: SPRINGERISSN: 1567-7818Frequency: 4 issues/year

Natural Computing is a leading peer-reviewed journal published by Springer, focusing on the interdisciplinary study of natural computation methods and their applications across various domains. With an ISSN of 1567-7818 and an E-ISSN of 1572-9796, this journal has established itself as vital in the field of Computer Science Applications, as reflected in its esteemed Q2 quartile ranking and a Scopus rank of #358 among 817 journals, placing it in the 56th percentile. Based in the Netherlands, Natural Computing covers a diverse range of topics, including computational models inspired by natural systems, evolutionary algorithms, and swarm intelligence. Seeking to bridge the gap between theoretical research and practical applications, this journal serves researchers, professionals, and students by providing insights and advancements in the field. With a commitment to fostering innovation, Natural Computing aims to push the boundaries of understanding in computational methods inspired by nature, making it an essential resource for those looking to contribute to and stay updated within this dynamic area.

Genetic Programming and Evolvable Machines

Transforming Ideas into Intelligent Solutions
Publisher: SPRINGERISSN: 1389-2576Frequency: 4 issues/year

Genetic Programming and Evolvable Machines, published by SPRINGER, is a leading journal dedicated to the fields of genetic algorithms, evolutionary computation, and machine learning. With an ISSN of 1389-2576 and an E-ISSN of 1573-7632, this esteemed journal encompasses original research articles, reviews, and applications that explore the intricate relationships between intelligent systems and evolutionary processes. As of 2023, it holds a notable Q2 ranking in various categories including Computer Science Applications and Hardware and Architecture, reflecting its significant impact in advancing knowledge and methodologies within these domains. The journal's metrics, including a top rank of #31/130 in Theoretical Computer Science, signify its relevance and contribution to the broader academic community. Though not open access, papers published in the journal continue to serve as critical resources for both researchers and practitioners, promoting innovative methodologies and solutions. Covering a broad scope with a convergence extending from 2003 to 2024, this journal remains a pivotal platform for sharing cutting-edge research that shapes the future of artificial intelligence and computational theory.

APPLIED INTELLIGENCE

Advancing the frontiers of Artificial Intelligence applications.
Publisher: SPRINGERISSN: 0924-669XFrequency: 12 issues/year

Applied Intelligence is a prominent peer-reviewed journal that has been instrumental in advancing the field of Artificial Intelligence since its inception in 1991. Published by Springer, a reputable name in academic publishing, the journal focuses on the innovative applications of intelligent systems, algorithms, and methodologies across various disciplines. With an impressive Q2 ranking in the Artificial Intelligence category for 2023, and a Scopus rank of #117 out of 350 in its field, Applied Intelligence is recognized for its significant contributions and rigorous standards. The journal is accessed primarily through subscription, ensuring that high-quality research reaches the academic community and industry professionals alike. Its commitment to disseminating cutting-edge research makes it an invaluable resource for researchers, practitioners, and students interested in the practical implications of AI advancements. Join a community dedicated to exploring the transformative power of artificial intelligence and stay ahead in this ever-evolving field!

JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS

Unlocking Potential through Rigorous Optimization Studies
Publisher: SPRINGER/PLENUM PUBLISHERSISSN: 0022-3239Frequency: 12 issues/year

JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, published by Springer/Plenum Publishers, is a prestigious academic journal that has been at the forefront of the fields of applied mathematics, control and optimization, and management science since its inception in 1967. With an ISSN number of 0022-3239 and an E-ISSN of 1573-2878, it is recognized for its rigorous peer-reviewed content and aims to provide a platform for the dissemination of research that advances theoretical frameworks and practical applications in optimization. As of 2023, the journal holds an impressive Q1 ranking in both Applied Mathematics and Control and Optimization, showcasing its impact and influence in these domains. The journal is also highly ranked in the realm of management science and operations research, making it a vital resource for academics, professionals, and students alike. Though it does not currently offer open access, the journal's articles are widely accessible through institutional subscriptions. Significantly, its long-standing commitment to scholarly excellence positions it as a key player in fostering innovative research and discussions that impact various real-world challenges in optimization.

SOFT COMPUTING

Driving Excellence in Soft Computing Research
Publisher: SPRINGERISSN: 1432-7643Frequency: 12 issues/year

SOFT COMPUTING is a premier international journal published by Springer, focusing on the interdisciplinary field of soft computing, which includes areas such as fuzzy logic, neural networks, genetic algorithms, and their applications. With an ISSN of 1432-7643 and E-ISSN 1433-7479, the journal is based in Germany and contributes significantly to the advancement of knowledge in its fields, boasting an impressive Scopus ranking that places it in the top echelons of Geometry and Topology, Theoretical Computer Science, and Software categories. In the 2023 category quartiles, it has achieved Q2 rankings in multiple disciplines, reflecting its high-quality research contributions. Though not Open Access, the journal's rigor and relevance to contemporary issues make it a favored resource for researchers, professionals, and students alike. From its inception in 2000 and spanning across the years until 2024, SOFT COMPUTING continues to serve as a robust platform for innovative research and theoretical advancements, making it an essential read for anyone engaged in the rapidly evolving landscape of computational intelligence.

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.