Tuning a Simulated Annealing metaheuristic for cross-domain search

Simulated Annealing is a well known local search metaheuristic used for solving computationally hard optimization problems. Cross-domain search poses a higher level issue where a single solution method is used with minor, preferably no modification for solving characteristically different optimisati...

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Main Authors: Jackson, Warren G., Özcan, Ender, John, Robert
Format: Conference or Workshop Item
Published: 2017
Subjects:
Online Access:https://eprints.nottingham.ac.uk/41418/
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author Jackson, Warren G.
Özcan, Ender
John, Robert
author_facet Jackson, Warren G.
Özcan, Ender
John, Robert
author_sort Jackson, Warren G.
building Nottingham Research Data Repository
collection Online Access
description Simulated Annealing is a well known local search metaheuristic used for solving computationally hard optimization problems. Cross-domain search poses a higher level issue where a single solution method is used with minor, preferably no modification for solving characteristically different optimisation problems. The performance of a metaheuristic is often dependant on its initial parameter settings, hence detecting the best configuration, i.e. parameter tuning is crucial, which becomes a further challenge for cross-domain search. In this paper, we investigate the cross-domain search performance of Simulated Annealing via tuning for solving six problems, ranging from personnel scheduling to vehicle routing under a stochastic local search framework. The empirical results show that Simulated Annealing is extremely sensitive to the initial parameter settings leading to sub-standard performance when used as a single solution method for cross-domain search. Moreover, we demonstrate that cross-domain parameter tuning is inferior to domain-level tuning highlighting the requirements for adaptive parameter configurations when dealing with cross-domain search.
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format Conference or Workshop Item
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institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T19:45:17Z
publishDate 2017
recordtype eprints
repository_type Digital Repository
spelling nottingham-414182020-05-04T18:54:20Z https://eprints.nottingham.ac.uk/41418/ Tuning a Simulated Annealing metaheuristic for cross-domain search Jackson, Warren G. Özcan, Ender John, Robert Simulated Annealing is a well known local search metaheuristic used for solving computationally hard optimization problems. Cross-domain search poses a higher level issue where a single solution method is used with minor, preferably no modification for solving characteristically different optimisation problems. The performance of a metaheuristic is often dependant on its initial parameter settings, hence detecting the best configuration, i.e. parameter tuning is crucial, which becomes a further challenge for cross-domain search. In this paper, we investigate the cross-domain search performance of Simulated Annealing via tuning for solving six problems, ranging from personnel scheduling to vehicle routing under a stochastic local search framework. The empirical results show that Simulated Annealing is extremely sensitive to the initial parameter settings leading to sub-standard performance when used as a single solution method for cross-domain search. Moreover, we demonstrate that cross-domain parameter tuning is inferior to domain-level tuning highlighting the requirements for adaptive parameter configurations when dealing with cross-domain search. 2017-07-07 Conference or Workshop Item PeerReviewed Jackson, Warren G., Özcan, Ender and John, Robert (2017) Tuning a Simulated Annealing metaheuristic for cross-domain search. In: IEEE Congress on Evolutionary Computation 2017, 5-9 June 2017, Donostia-San Sebastian, Spain. Tuning Cooling Search problems Simulated annealing Schedules http://ieeexplore.ieee.org/document/7969424/
spellingShingle Tuning
Cooling
Search problems
Simulated annealing
Schedules
Jackson, Warren G.
Özcan, Ender
John, Robert
Tuning a Simulated Annealing metaheuristic for cross-domain search
title Tuning a Simulated Annealing metaheuristic for cross-domain search
title_full Tuning a Simulated Annealing metaheuristic for cross-domain search
title_fullStr Tuning a Simulated Annealing metaheuristic for cross-domain search
title_full_unstemmed Tuning a Simulated Annealing metaheuristic for cross-domain search
title_short Tuning a Simulated Annealing metaheuristic for cross-domain search
title_sort tuning a simulated annealing metaheuristic for cross-domain search
topic Tuning
Cooling
Search problems
Simulated annealing
Schedules
url https://eprints.nottingham.ac.uk/41418/
https://eprints.nottingham.ac.uk/41418/