- Neighbourhood search algorithms
- Evolutionary algorithms, ant systems, particle swarms
- Variable neighbourhood search
- Combinatorial/multiobjective optimisation
- Neural networks
- Parallel metaheuristics, new metaheuristic approaches/operators
- Theory/practice of metaheuristics
- Constraint handling techniques
- Representation and encoding issues
- Case studies and real-world applications
- Applications to machine learning
- Artificial immune systems
- Comparison papers
- Hybrid methods (including use of non-metaheuristic techniques)
- Parameter analysis
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IJMHeur aims to expose the reader to valuable and cutting-edge approaches for solving difficult practical and theoretical problems, and to foster discussion through the publication of high-quality, informative, and scientifically rigorous articles. It also aims to maintain an effective channel of communication between academics, researchers and practitioners in the field of metaheuristics.
In general, we consider a metaheuristic to be any algorithmic framework, nature inspired or otherwise, that defines a set of heuristic methods that can be directed towards a variety of different optimisation problems. In other words, metaheuristics represent "higher level" heuristic-based algorithms that can be applied to various individual problems with relatively few modifications needing to be made in each case.
IJMHeur is especially intended for furthering the overall understanding of metaheuristic algorithms and to assess not only their strengths, but also their weaknesses. To these ends, the publication of negative results is also accepted, particularly if they reveal previously unknown limitations of an existing method.
IJMHeur places a special emphasis on ensuring studies are carried out accurately using rigorous scientific method. Algorithms should therefore be carefully designed and appropriately analysed, and authors are encouraged to assess the statistical validity of their results whenever possible.
IJMHeur is aimed at professionals, academics, students, researchers and policy makers, who are interested in the potential of metaheuristic techniques for solving problems. In particular, this includes people with backgrounds in computer science, mathematics, engineering, and quantitative management science.Contents
IJMHeur publishes high-quality papers, review articles and case studies. As a rule, only original work that has not been published elsewhere will be considered, though conference papers etc. may be accepted if they have been substantially enhanced. Special issues of the journal that focus in on a particular aspect of the field are also published from time-to-time. All papers are submitted to a sub-editor and are peer-reviewed by at least two referees.
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IJMHeur is indexed in:
IJMHeur is listed in:
Editor in Chief
- Nesmachnow, Sergio, Universidad de la República, Uruguay
- Dorronsoro, Bernabé, Universidad de Cdiz, Spain
- Verma, K.D., Shri Varshney College of Post Graduate Studies and Research, India
Editorial Board Members
- Bennell, Julia, University of Southampton, UK
- Birattari, Mauro, Universit Libre de Bruxelles, Belgium
- Cotta, Carlos, Universidad de Mlaga, Spain
- Fulcher, John Alan, University of Wollongong, Australia
- Gutiérrez Reina, Daniel, University of Seville, Spain
- Hart, Emma, Napier University, UK
- Ishibuchi, Hisao, Osaka Prefecture University, Japan
- Leguizamón, Guillermo, Universidad Nacional de San Luis, Argentina
- Levine, John, University of Strathclyde, UK
- Lewis, Rhydian, Cardiff University, UK
- Martí, Rafael, Universitat de Valncia, Spain
- Morgan, Peter H., Cardiff University, UK
- Mumford, C.L., Cardiff University, UK
- Nearchou, Andreas C., University of Patras, Greece
- Raidl, Günther R., Vienna University of Technology, Austria
- Rezaee Jordehi, Ahmad, Islamic Azad University of Lashenesha, Iran
- Ruiz García, Rubén, Universidad Politecnica de Valencia, Spain
- Schütze, Oliver, CINVESTAV-IPN, Mexico
- Talbi, El-Ghazali, University of Lille, France
- Tchernykh, Andrei, CICESE Research Center, Mexico
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