Home > Research > Publications & Outputs > Single-search-based heuristics for multiobjecti...

Research

Links

Text available via DOI:

View graph of relations

Single-search-based heuristics for multiobjective optimization

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Entry for encyclopedia/dictionary

Published

Standard

Single-search-based heuristics for multiobjective optimization. / Ehrgott, Matthias.
Wiley encyclopedia of operations research and management science. ed. / James J. Cochran. Hoboken, N.J.: John Wiley & Sons, 2010.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Entry for encyclopedia/dictionary

Harvard

Ehrgott, M 2010, Single-search-based heuristics for multiobjective optimization. in JJ Cochran (ed.), Wiley encyclopedia of operations research and management science. John Wiley & Sons, Hoboken, N.J. https://doi.org/10.1002/9780470400531.eorms0787

APA

Ehrgott, M. (2010). Single-search-based heuristics for multiobjective optimization. In J. J. Cochran (Ed.), Wiley encyclopedia of operations research and management science John Wiley & Sons. https://doi.org/10.1002/9780470400531.eorms0787

Vancouver

Ehrgott M. Single-search-based heuristics for multiobjective optimization. In Cochran JJ, editor, Wiley encyclopedia of operations research and management science. Hoboken, N.J.: John Wiley & Sons. 2010 doi: 10.1002/9780470400531.eorms0787

Author

Ehrgott, Matthias. / Single-search-based heuristics for multiobjective optimization. Wiley encyclopedia of operations research and management science. editor / James J. Cochran. Hoboken, N.J. : John Wiley & Sons, 2010.

Bibtex

@inbook{71feb54b76734cce81542390b2088bcf,
title = "Single-search-based heuristics for multiobjective optimization",
abstract = "This article explains the single-search-based heuristics for multiobjective optimization. The most prominent heuristics of multiobjective simulated annealing, multiobjective tabu search, and Pareto local search are each explained with a detailed pseudocode and further summaries of algorithmic ideas. This is followed by a brief review of hybrid heuristics combining features of single search and population-based heuristics. The article ends with brief conclusions and suggestions for further reading.",
author = "Matthias Ehrgott",
year = "2010",
doi = "10.1002/9780470400531.eorms0787",
language = "English",
editor = "Cochran, {James J.}",
booktitle = "Wiley encyclopedia of operations research and management science",
publisher = "John Wiley & Sons",

}

RIS

TY - CHAP

T1 - Single-search-based heuristics for multiobjective optimization

AU - Ehrgott, Matthias

PY - 2010

Y1 - 2010

N2 - This article explains the single-search-based heuristics for multiobjective optimization. The most prominent heuristics of multiobjective simulated annealing, multiobjective tabu search, and Pareto local search are each explained with a detailed pseudocode and further summaries of algorithmic ideas. This is followed by a brief review of hybrid heuristics combining features of single search and population-based heuristics. The article ends with brief conclusions and suggestions for further reading.

AB - This article explains the single-search-based heuristics for multiobjective optimization. The most prominent heuristics of multiobjective simulated annealing, multiobjective tabu search, and Pareto local search are each explained with a detailed pseudocode and further summaries of algorithmic ideas. This is followed by a brief review of hybrid heuristics combining features of single search and population-based heuristics. The article ends with brief conclusions and suggestions for further reading.

U2 - 10.1002/9780470400531.eorms0787

DO - 10.1002/9780470400531.eorms0787

M3 - Entry for encyclopedia/dictionary

BT - Wiley encyclopedia of operations research and management science

A2 - Cochran, James J.

PB - John Wiley & Sons

CY - Hoboken, N.J.

ER -