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A multi-objective evolutionary algorithm for facility dispersion under conditions of spatial uncertainty
Wei, Ran; Murray, Alan T. - In: Journal of the Operational Research Society : OR 65 (2014) 7, pp. 1133-1142
Persistent link: https://www.econbiz.de/10010376595
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A robust optimization model for a supply chain under uncertainty
Hosseini, Sara; Farahani, Reza Zanjirani; Dullaert, Wout; … - In: IMA journal of management mathematics 25 (2014) 4, pp. 387-402
Persistent link: https://www.econbiz.de/10011349633
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An experimental analysis of the p-median problem under uncertainty : an evolutionary algorithm approach
López-Monzalvo, Francisco; Brizuela, Carlos A. - In: European journal of industrial engineering : EJIE 8 (2014) 4, pp. 554-578
Persistent link: https://www.econbiz.de/10011284994
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Project management for uncertainty with multiple objectives optimisation of time, cost and reliability
Jeang, Angus - In: International journal of production research 53 (2015) 5, pp. 1503-1526
Persistent link: https://www.econbiz.de/10010500805
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Data driven safe vehicle routing analytics: a differential evolution algorithm to reduce CO 2 emissions and hazardous risks
Boon Ean Teoh; Ponnambalam, S. G.; Subramanian, Nachiappan - In: Big data analytics in operations and supply chain management, (pp. 515-538). 2018
Persistent link: https://www.econbiz.de/10011965504
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Genetic algorithms for condition-based maintenance optimization under uncertainty
Compare, Michele; Martini, F.; Zio, Enrico - In: European journal of operational research : EJOR 244 (2015) 2, pp. 611-623
Persistent link: https://www.econbiz.de/10010531885
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Multi-period project portfolio selection under risk considerations and stochastic income
Tofighian, Ali Asghar; Moezzi, Hamid; Barfuei, Morteza … - In: Journal of industrial engineering international 14 (2018) 3, pp. 571-584
procedure is presented to solve the problem. The algorithm is based on genetic algorithm (GA), which is a prominent method to … hybridized with a local search mechanism to gain better solution in shorter time. The performance of the proposed algorithm is … then compared with well-known algorithms, like basic genetic algorithm (GA), particle swarm optimization (PSO), and …
Persistent link: https://www.econbiz.de/10011887969
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Triple-objective models for portfolio optimisation with symmetric and percentile risk measures
Sawik, Bartosz - In: International journal of logistics systems and management 25 (2016) 1, pp. 96-107
Persistent link: https://www.econbiz.de/10011647331
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An algorithm for calculating the set of superhedging portfolios in markets with transaction costs
Löhne, Andreas; Rudloff, Birgit - In: International journal of theoretical and applied finance 17 (2014) 2, pp. 1-33
Persistent link: https://www.econbiz.de/10010363905
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A note on computing the center of uncertain data on the real line
Wang, Haitao; Zhang, Jingru; Zyma, Kenneth - In: Operations research letters 44 (2016) 3, pp. 370-373
Persistent link: https://www.econbiz.de/10011506150