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  • Search: subject:"Stochastic combinatorial optimization"
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Subject
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Mathematical programming 4 Mathematische Optimierung 4 Stochastic process 4 Stochastischer Prozess 4 Theorie 4 Theory 4 Scheduling problem 3 Scheduling-Verfahren 3 Stochastic combinatorial optimization 3 Finite state machines 2 Genetic algorithms 2 Heuristics 2 Heuristik 2 Multiagent simulations 2 Simheuristics 2 Simulation 2 Tourenplanung 2 Vehicle routing problem 2 Agent-based modeling 1 Agentenbasierte Modellierung 1 Betriebliche Standortwahl 1 Bi-criteria optimization 1 Evolutionary algorithm 1 Evolutionärer Algorithmus 1 Firm location choice 1 Linienverkehr 1 Markov chain 1 Markov-Kette 1 Robust statistics 1 Robustes Verfahren 1 Robustness 1 Scheduled transport 1 Simulated Annealing 1 Timetabling 1 metaheuristics 1 simheuristics 1 stochastic combinatorial optimization 1 stochastic combinatorial optimization problems 1 submodular functions 1 test scores 1
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Undetermined 3 Free 2
Type of publication
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Article 5
Type of publication (narrower categories)
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Article in journal 4 Aufsatz in Zeitschrift 4 Article 1
Language
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English 5
Author
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Benke, Lyndon 2 Kelly, Luke 2 Lam, Chiou-Peng 2 Masek, Martin 2 Papasimeon, Michael 2 Akkan, Can 1 Armas, Jesica de 1 Gülcü, Ayla 1 Juan, Angel A. 1 Marquès, Joan M. 1 Pedroso, João Pedro 1 Sekar, Shreyas 1 Vojnovic, Milan 1 Yun, Se-Young 1
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Published in...
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European journal of operational research : EJOR 1 Journal of the Operational Research Society : OR 1 Management science : journal of the Institute for Operations Research and the Management Sciences 1 Operations Research Perspectives 1 Operations research perspectives 1
Source
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ECONIS (ZBW) 4 EconStor 1
Showing 1 - 5 of 5
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A simheuristic approach for evolving agent behaviour in the exploration for novel combat tactics
Lam, Chiou-Peng; Masek, Martin; Kelly, Luke; … - In: Operations Research Perspectives 6 (2019), pp. 1-13
The automatic generation of behavioural models for intelligent agents in military simulation and experimentation remains a challenge. Genetic Algorithms are a global optimization approach which is suitable for addressing complex problems where locating the global optimum is a difficult task....
Persistent link: https://www.econbiz.de/10012662788
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Cover Image
A simheuristic approach for evolving agent behaviour in the exploration for novel combat tactics
Lam, Chiou-Peng; Masek, Martin; Kelly, Luke; … - In: Operations research perspectives 6 (2019), pp. 1-13
The automatic generation of behavioural models for intelligent agents in military simulation and experimentation remains a challenge. Genetic Algorithms are a global optimization approach which is suitable for addressing complex problems where locating the global optimum is a difficult task....
Persistent link: https://www.econbiz.de/10012129907
Saved in:
Cover Image
A test score-based approach to stochastic submodular optimization
Sekar, Shreyas; Vojnovic, Milan; Yun, Se-Young - In: Management science : journal of the Institute for … 67 (2021) 2, pp. 1075-1092
Persistent link: https://www.econbiz.de/10012505366
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Robust university course timetabling problem subject to single and multiple disruptions
Gülcü, Ayla; Akkan, Can - In: European journal of operational research : EJOR 283 (2020) 2, pp. 630-646
Persistent link: https://www.econbiz.de/10012294868
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Solving the deterministic and stochastic uncapacitated facility location problem : from a heuristic to a simheuristic
Armas, Jesica de; Juan, Angel A.; Marquès, Joan M.; … - In: Journal of the Operational Research Society : OR 68 (2017) 10, pp. 1161-1176
Persistent link: https://www.econbiz.de/10011804025
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