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5 results on '"Heilig, Leonard"'

1. Applications of Real-Time Data to Reduce Air Emissions in Maritime Ports

Author

Cammin, Philip, Sarhani, Malek, Heilig, Leonard, Voß, Stefan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Marcus, Aaron, editor, and Rosenzweig, Elizabeth, editor

Published
2020
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2. A Biased Random-Key Genetic Algorithm for the Cloud Resource Management Problem

Author

Heilig, Leonard, Lalla-Ruiz, Eduardo, Voß, Stefan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Ochoa, Gabriela, editor, and Chicano, Francisco, editor

Published
2015
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4. Assessing Simulated Annealing with Variable Neighborhoods

Author

Lalla-Ruiz, Eduardo, Heilig, Leonard, Voß, Stefan, Matsatsinis, Nikolaos F., Marinakis, Yannis, Pardalos, Panos, and Industrial Engineering & Business Information Systems

Subjects
Optimization, 050101 languages & linguistics, Mathematical optimization, Quadratic assignment problem, Computer science, 05 social sciences, 22/2 OA procedure, 02 engineering and technology, State (functional analysis), Metaheuristics, Artificial Intelligence, Simulated annealing, Variable neighbourhood search, 0202 electrical engineering, electronic engineering, information engineering, Heuristics, 020201 artificial intelligence & image processing, 0501 psychology and cognitive sciences, Metaheuristic, Variable (mathematics)
Abstract

Simulated annealing (SA) is a well-known metaheuristic commonly used to solve a great variety of \(\mathcal {NP}\)-hard problems such as the quadratic assignment problem (QAP). As commonly known, the choice and size of neighborhoods can have a considerable impact on the performance of SA. In this work, we investigate and propose a SA variant that considers variable neighborhood structures driven by the state of the search. In the computational experiments, we assess the contribution of this SA variant in comparison with the state-of-the-art SA for the QAP applied to printed circuit boards and conclude that our approach is able to report better solutions by means of short computational times.

Published
2020
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5. Metaheuristics in cloud computing

Author

Heilig, Leonard, Lalla-Ruiz, Eduardo, Voss, Stefan, Buyya, Rajkumar, and Industrial Engineering & Business Information Systems

Subjects
Optimization, Operations Research, Heuristics, Artificial Intelligence (AI), Optimization algorithms, Metaheuristics, Decision support
Published
2018

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