Genetic programming hyperheuristic parameter configuration using fitness landscape analysis

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@Article{DBLP:journals/apin/CoricEJ21,

• author = "Rebeka Coric and Mateja DHumic and Domagoj Jakobovic",
• title = "Genetic programming hyperheuristic parameter configuration using fitness landscape analysis",
• journal = "Applied Intelligence",
• year = "2021",
• volume = "51",
• number = "10",
• pages = "7402--7426",
• month = oct,
• keywords = "genetic algorithms, genetic programming, Fitness landscape analysis, Scheduling, Tree operators, Clustering, Parameter configuration",
• ISSN = "0924-669X",
• timestamp = "Thu, 16 Sep 2021 01:00:00 +0200",
• biburl = "https://dblp.org/rec/journals/apin/CoricEJ21.bib",
• bibsource = "dblp computer science bibliography, https://dblp.org",
• URL = "https://www.bib.irb.hr:8443/1123444",
• URL = "https://doi.org/10.1007/s10489-021-02227-3",
• DOI = "doi:10.1007/s10489-021-02227-3",
• abstract = "Fitness landscape analysis is a tool that can help us gain insight into a problem, determine how hard it is to solve a problem using a given algorithm, choose an algorithm for solving a given problem, or choose good algorithm parameters for solving the problem. fitness landscape analysis of hyperheuristics is used for clustering instances of three scheduling problems. After that, good parameters for tree-based genetic programming that can solve a given scheduling problem are calculated automatically for every cluster. Additionally, we introduce tree editing operators which help in the calculation of fitness landscape features in tree based genetic programming. A heuristic is proposed based on introduced operators, and it calculates the distance between any two trees. The results show that the proposed approach can obtain parameters that offer better performance compared to manual parameter selection.",
• notes = "Department of Mathematics, J.J. Strossmayer University of Osijek, Gajev trg 6, 31000, Osijek, Croatia",

}

Genetic Programming entries for Rebeka Coric Mateja Dumic Domagoj Jakobovic

Citations