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ORCIDComputers & Operations Research, Volume 75
Volume 75, November 2016
- Abdalla Elshaikh, Saïd Salhi
, Jack Brimberg, Nenad Mladenovic, Becky Callaghan, Gábor Nagy:
An adaptive perturbation-based heuristic: An application to the continuous p-centre problem. 1-11 - Anders N. Gullhav, Bjørn Nygreen:
A branch and price approach for deployment of multi-tier software services in clouds. 12-27 - Antoine Legrain, Patrick Jaillet:
A stochastic algorithm for online bipartite resource allocation problems. 28-37 - Victor Fernandez-Viagas, Manuel Dios, Jose M. Framiñan:
Efficient constructive and composite heuristics for the Permutation Flowshop to minimise total earliness and tardiness. 38-48 - Ricardo B. Damm, Mauricio G. C. Resende, Débora P. Ronconi:
A biased random key genetic algorithm for the field technician scheduling problem. 49-63 - W. Grauberger, Alf Kimms:
Airline revenue management games with simultaneous price and quantity competition. 64-75 - Lê Nguyên Hoang, François Soumis, Georges Zaccour:
A heuristic optimization of Bayesian incentive-compatible cake-cutting. 76-82 - André Hottung, Kevin Tierney:
A biased random-key genetic algorithm for the container pre-marshalling problem. 83-102 - Hongtao Lei, Rui Wang, Tao Zhang, Yajie Liu, Yabing Zha:
A multi-objective co-evolutionary algorithm for energy-efficient scheduling on a green data center. 103-117 - Apurba K. Nandi, Hugh R. Medal, Satish Vadlamani:
Interdicting attack graphs to protect organizations from cyber attacks: A bi-level defender-attacker model. 118-131 - Xiaogen Zhou, Gui-jun Zhang, Xiao-hu Hao, Li Yu:
A novel differential evolution algorithm using local abstract convex underestimate strategy for global optimization. 132-149 - Jimmy H. Gutiérrez, César A. Astudillo, Pablo Ballesteros-Pérez, Daniel Mora-Melià, Alfredo Candia-Véjar:
The multiple team formation problem using sociometry. 150-162 - Wanfang Shen, Daqun Zhang, Wenbin Liu, Guoliang Yang:
Increasing discrimination of DEA evaluation by utilizing distances to anti-efficient frontiers. 163-173 - E. B. Schlünz, Pavel M. Bokov, Jan H. van Vuuren:
A comparative study on multiobjective metaheuristics for solving constrained in-core fuel management optimisation problems. 174-190 - Marco Zugno, Juan M. Morales, Henrik Madsen:
Commitment and dispatch of heat and power units via affinely adjustable robust optimization. 191-201 - Marco Casazza, Alberto Ceselli:
Exactly solving packing problems with fragmentation. 202-213 - Edoardo Amaldi, Stefano Coniglio, Leonardo Taccari:
Discrete optimization methods to fit piecewise affine models to data points. 214-230
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