Fitness Landscape based Parameter Estimation for Robust Taboo Search

Created by W.Langdon from gp-bibliography.bib Revision:1.7778

@InProceedings{3360,

• author = "Andreas Beham and Erik Pitzer and Michael Affenzeller",
• title = "Fitness Landscape based Parameter Estimation for Robust Taboo Search",
• booktitle = "Computer Aided Systems Theory, Eurocast 2013",
• year = "2013",
• editor = "Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia",
• volume = "8111",
• series = "LNCS",
• pages = "292--299",
• address = "Las Palmas, Spain",
• month = "10-15 " # feb,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Problem Instance, Problem Size, Fitness Landscape, Quadratic Assignment Problem, Large Problem Size",
• isbn13 = "978-3-642-53856-8",
• URL = "https://link.springer.com/chapter/10.1007/978-3-642-53856-8_37",
• DOI = "doi:10.1007/978-3-642-53856-8_37",
• abstract = "Metaheuristic optimization algorithms are general optimization strategies suited to solve a range of real-world relevant optimization problems. Many metaheuristics expose parameters that allow to tune the effort that these algorithms are allowed to make and also the strategy and search behaviour [1]. Adjusting these parameters allows to increase the algorithms performances with respect to different problem- and problem instance characteristics.",

}

Genetic Programming entries for Andreas Beham Erik Pitzer Michael Affenzeller

Citations