Description
The International Journal of Applied Metaheuristic Computing (IJAMC) is a rigorous refereed journal that publishes high quality, innovative research on the latest developments, models, and applications within the transdisciplinary fields related to metaheuristic computing. Providing researchers, practitioners, and academicians with insight into a wide range of topics such as genetic algorithms, differential evolution, and ant colony optimization, this journal contains useful articles for those seeking to learn, analyze, improve, and apply technologies within metaheuristic computing.
Topics Covered
- Ant colony optimization
- Applications of metaheuristic computing
- Bio-inspired algorithm
- Control system, evolvable hardware, power system, vehicular system, communication system, transportation system, and simulation optimization
- Culture algorithm
- Cyber swarm algorithm
- Differential Evolution
- Distributed computing, multimedia processing, machine learning, data mining, bioinformatics, data security, network design, and decision making
- Ejection chain
- Evolutionary Computation
- Foraging algorithm
- Genetic Algorithm
- Government, education, economics, finance, and the others
- GRASP
- Greedy algorithm
- Hybrid method
- Hyper-heuristics
- Immune algorithm
- Local Search
- Memetic algorithm
- Metaheuristics in dynamic, multi-objective, and constrained environment
- Model-based metaheuristics (matheuristics)
- Modeling and analysis of metaheuristic computing
- Particle Swarm Optimization
- Path relinking
- Random optimization
- Scatter search
- Simulated Annealing
- Soft Computing
- Strategic oscillation
- Supply-chain management, production scheduling, resource allocation, human resource planning, strategic planning, project portfolio management, and business process management
- Swarm-based algorithm
- Tabu search
- Variable neighborhood search
- Very large scale metaheuristics
Mission and Scope
The mission of
International Journal of Applied Metaheuristic Computing (IJAMC) is to publish and disseminate original research on modeling, analysis, and applications in metaheuristic computing. The engineering and business problems the world faces today have become more impenetrable and unstructured, making the design of a satisfactory problem-specific algorithm nontrivial. Alternatively, researchers and practitioners look for generic metaheuristic computing that guides the course of a heuristic to search beyond the local optimality, which impairs the capability of traditional computation methods. Providing a forum for researchers, scientists, practitioners and students who wish to learn, analyze, improve and apply technologies in metaheuristic computing, IJAMC provides insights into all aspects of metaheuristic computing that take full advantage of higher level problem solving without a hassle to design problem-specific operations each time a new application appears.
Table of Contents and List of Contributors
Open Access Articles: Forthcoming
Volume 11: 4 Issues (2020): 1 Released, 3 Forthcoming
Volume 11: 4 Issues (2020): Forthcoming, Available for Pre-Order
Volume 10: 4 Issues (2019)
Volume 10: 4 Issues (2019): Forthcoming, Available for Pre-Order
Volume 9: 4 Issues (2018)
Volume 9: 4 Issues (2018): Forthcoming, Available for Pre-Order
Volume 8: 4 Issues (2017)
Volume 8: 4 Issues (2017): Forthcoming, Available for Pre-Order
Volume 7: 4 Issues (2016)
Volume 7: 4 Issues (2016): Forthcoming, Available for Pre-Order
Volume 6: 4 Issues (2015)
Volume 6: 4 Issues (2015): Forthcoming, Available for Pre-Order
Volume 5: 4 Issues (2014)
Volume 5: 4 Issues (2014): Forthcoming, Available for Pre-Order
Volume 4: 4 Issues (2013)
Volume 4: 4 Issues (2013): Forthcoming, Available for Pre-Order
Volume 3: 4 Issues (2012)
Volume 3: 4 Issues (2012): Forthcoming, Available for Pre-Order
Volume 2: 4 Issues (2011)
Volume 2: 4 Issues (2011): Forthcoming, Available for Pre-Order
Volume 1: 4 Issues (2010)
Volume 1: 4 Issues (2010): Forthcoming, Available for Pre-Order
View Complete Journal Contents ListingIndices
Editor(s)-in-Chief Biography
Peng-Yeng Yin received his B.S., M.S. and Ph.D. degrees in Computer Science from National Chiao Tung University, Hsinchu, Taiwan. From 1993 to 1994, he was a visiting scholar at the Department of Electrical Engineering, University of Maryland, College Park, and the Department of Radiology, Georgetown University, Washington D.C. In 2000, he was a visiting Professor in the Visualization and Intelligent Systems Laboratory (VISLab) at the Department of Electrical Engineering, University of California, Riverside (UCR). From 2006 to 2007, he was a visiting Professor at Leeds School of Business, University of Colorado. And in 2015, he was a visiting Professor at Graduate School of Engineering, Osaka University, Japan. He is currently a Distinguished Professor of the Department of Information Management, National Chi Nan University, Taiwan, and he was the department head during 2004 and 2006, and the Dean of the office of R&D for the university from 2008 to 2012. Dr. Yin received the Overseas Research Fellowship from Ministry of Education in 1993, Overseas Research Fellowships from National Science Council in 2000 and 2015. He is a member of the Phi Tau Phi Scholastic Honor Society and listed in Who’s Who in the World, Who’s Who in Science and Engineering, and Who’s Who in Asia. Dr. Yin has published more than 140 academic articles in reputable journals and conferences including European Journal of Operational Research, Decision Support Systems, Annals of Operations Research, IEEE Trans. on Pattern Analysis and Machine Intelligence, IEEE Trans. on Knowledge and Data Engineering, IEEE Trans. on Education, etc. He is the Editor-in-Chief of the International Journal of Applied Metaheuristic Computing and has been on the Editorial Board of Journal of Computer Information Systems, Applied Mathematics & Information Sciences, Mathematical Problems in Engineering, International Journal of Advanced Robotic Systems, and served as a program committee member in many international conferences. He has also edited four books in pattern recognition and metaheuristic computing. His current research interests include artificial intelligence, evolutionary computation, educational informatics, metaheuristics, pattern recognition, image processing, machine learning, software engineering, computational intelligence, and operations research.
Editorial Board
- International Advisory Board
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Nilanjan Dey, Techno India College of Technology, India
- Associate Editors
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Bir Bhanu, University of California, United States
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Ray-I Chang, National Taiwan University, Taiwan
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Rong-Fuh Day, National Chi-Nan University, Taiwan
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Youcef Gheraibia, University of York, United Kingdom
https://orcid.org/0000-0002-0854-5211 -
Fred Glover, OptTek Systems, Inc., United States
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Jin-Kao Hao, Université d’Angers, France
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F. Herrera, University of Granada, Spain
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Martin Middendorf, University of Leipzig, Germany
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Ender Özcan, University of Nottingham, United Kingdom
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Panos Pardalos, University of Florida, United States
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Witold Pedrycz, University of Alberta, Canada
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Patrick Siarry, University of Paris-Est Creteil, France
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Achraf Jabeur Telmoudi, University of Sousse, Tunisia
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Yingxu Wang, University of Calgary, Canada
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Chin-Sheng Yang, Yuan Ze University, Taiwan
- Editorial Review Board
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Mauro Birattari, Université Libre de Bruxelles, Belgium
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Farid Bourennani, University of Ontario Institute of Technology, Canada
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Luís Cavique, Universidade Aberta, Portugal
https://orcid.org/0000-0002-5590-1493 -
David Corne, Heriot-Watt University, United Kingdom
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Benjamin Doerr, Max-Planck-Institut für Informatik, Germany
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Stefka Fidanova, Bulgarian Academy of Science, Bulgaria
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Rajeev Goel, Ambala College of Engg. and Applied Research, Ambala, India, India
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Gwo-Jen Hwang, National Taiwan University of Science and Technology, Taiwan
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Imed Kacem, Université Paul Verlaine-Metz, France
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Harihar Kalia, Seemanta Engineering College, India
https://orcid.org/0000-0001-7289-761X -
Bertrand Lin, National Chiao Tung University, Taiwan
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Jose Lozano, University of the Basque Country, Spain
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Roberto Montemanni, Dalle Molle Institute for Artificial Intelligence Research, Switzerland
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Pablo Moscato, University of Newcastle, Australia
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Geraldine O'Neill, University College Dublin, Ireland
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K.E. Parsopoulos, University of Ioannina, Greece
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Srikanta Patnaik, Siksha ‘O’ Anusandhan University, India
https://orcid.org/0000-0001-8297-0614 -
Riccardo Poli, University of Essex, United Kingdom
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Günther Raidl, Vienna University of Technology, Austria
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R. Rathipriya, Periyar University, India
https://orcid.org/0000-0002-3970-262X -
J. Senthilnath, A*STAR, Singapore
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Benjamin Shao, Arizona State University, United States
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Shyong-Jian Shyu, Ming Chuan University, Taiwan
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Thomas Stützle, Université Libre de Bruxelles, Belgium
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Jim Torresen, University of Oslo, Norway
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Jano van Hemert, University of Edinburgh, United Kingdom
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Haibo Wang, Texas A&M International University, United States
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Qingfu Zhang, City University of Hong Kong, Hong Kong
Submission
Prospective authors should note that only original and previously unpublished articles will be considered. INTERESTED AUTHORS MUST CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/journals/guidelines-for-submission.aspx PRIOR TO SUBMISSION. All article submissions will be forwarded to at least 3 members of the Editorial Review Board of the journal for double-blind, peer review. Final decision regarding acceptance/revision/rejection will be based on the reviews received from the reviewers. All submissions must be forwarded electronically.All submissions and inquiries should be directed to the attention of:
All inquiries regarding IJAMC should be directed to the attention of:
Peng-Yeng Yin
Editor-in-Chief
E-mail: pyyin@ncnu.edu.tw
All manuscript submissions to IJAMC should be sent through the online submission system:
http://www.igi-global.com/authorseditors/titlesubmission/newproject.aspx