Computers & Operations Research
 2014
DOI: 10.1016/j.cor.2013.12.004
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Scheduled penalty Variable Neighborhood Search

Barrett W. Thomas
1
,
Emanuele Manni
2
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Cited by 6 publications
(1 citation statement)
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“…Chekuri et al [25] propose several approximations for the OP an OPTW. Thomas and Manni [140] developed a variable neighbourhood metaheuristic that includes dynamic constraint penalization for the OPTW. The time window constraint is relaxed and added as a penalty to the objective function.…”
Section: -5mentioning
confidence: 99%

Optimizing practical orienteering problems with stochastic time-dependent travel times: towards congestion free routes

Verbeeck1
2016
4OR-Q J Oper Res
2
0
0
0
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“…Chekuri et al [25] propose several approximations for the OP an OPTW. Thomas and Manni [140] developed a variable neighbourhood metaheuristic that includes dynamic constraint penalization for the OPTW. The time window constraint is relaxed and added as a penalty to the objective function.…”
Section: -5mentioning
confidence: 99%

Optimizing practical orienteering problems with stochastic time-dependent travel times: towards congestion free routes

Verbeeck1
2016
4OR-Q J Oper Res
2
0
0
0
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Hybrid optimization algorithms by various structures for a real-world inverse scheduling problem with uncertain due-dates under single-machine shop systems

Mou
1
,
Gao
2
,
Guo
3
et al. 2018
Neural Comput & Applic
14
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2
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Multi-period orienteering with uncertain adoption likelihood and waiting at customers

Zhang
1
,
Ohlmann
2
,
Thomas
3
2020
European Journal of Operational Research
4
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1
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