Suchergebnisse - Mixed Binary Linear Programming Model

A Mixed Binary Linear Programming Model for Optimal Energy Management of Smart Buildings von Foroozandeh, Zahra, Ramos, Sérgio, Soares, João, Lezama, Fernando, Vale, Zita, Gomes, António, L. Joench, Rodrigo

“… Efficient alternatives in energy production and consumption are constantly being investigated and conducted by increasingly strict policies. Buildings have a …”
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A novel mixed binary linear DEA model for ranking decision-making units with preference information von Ebrahimi, Bohlool, Tavana, Madjid, Toloo, Mehdi, Charles, Vincent

“… Several mixed binary linear programming models have been proposed in the literature to rank decision-making units (DMUs …”
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Identifying the closest most productive scale size unit in data envelopment analysis von Esfandiar, Eshagh, Eslami, Robabeh, Khoveyni, Mohammad, Gilani, Alireza

“… Finding the closest most productive scale size (MPSS) unit is an important issue in the data envelopment analysis (DEA) literature. The closest MPSS unit to …”
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Computing non-stationary (s, S) policies using mixed integer linear programming von Xiang, Mengyuan, Rossi, Roberto, Martin-Barragan, Belen, Tarim, S. Armagan

“… •We introduce a mixed-integer linear programming reformulation.•Our reformulation can be solved by existing off-the-shelf solvers …”
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Partial reformulation-linearization based optimization models for the Golomb ruler problem von Ouzia, Hacène

“… Subsequently, we investigate the computational efficiency of four new binary mixed-integer linear programming models to compute optimal Golomb rulers …”
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A model for optimization of process integration investments under uncertainty von Svensson, Elin, Strömberg, Ann-Brith, Patriksson, Michael

“… The problem is formulated as a mixed-binary linear programming model where uncertainties are modelled using a scenario-based approach …”
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A Linear Programming Relaxation DEA Model for Selecting a Single Efficient Unit with Variable RTS Technology von Akhlaghi, Reza, Rostamy-Malkhalifeh, Mohsen, Amirteimoori, Alireza, Kordrostami, Sohrab

“… In order to address the selection-based problem in data envelopment analysis (DEA), various integrated mixed binary linear programming (MBLP …”
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Two-phase decomposition method for the last train departure time choice in subway networks von Kang, Liujiang, Meng, Qiang

“… •A novel MILP model is developed for the problem.•A two-phase decomposition method is proposed to decompose the original MILP into two MILP models with small sizes …”
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Transmission network expansion planning for the Colombian electrical system: Connecting the Ituango hydroelectric power plant von Vinasco, Guillermo, Tejada, Diego, Da Silva, Emivan F., Rider, Marcos J.

“… A Mixed Binary Linear Programming (MBLP) model was used to solve the Multistage Transmission Network Expansion Planning (MTEP …”
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Approximated MILP model for AC transmission expansion planning: global solutions versus local solutions von Akbari, Tohid, Tavakoli Bina, Mohammad

“… While the AC-TEP is inherently a mixed-integer non-linear programming problem, this can be transformed into a mixed-integer linear programming framework by the proposed model which is based upon …”
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A linear programming joint optimization model of overnight train timetabling and maintenance planning on high-speed railway von Zhang, Tianwei, Liang, Wei, Ji, Hangyu, Zhang, Chuntian

“… Subsequently, a mixed-integer linear programming model is formulated using linearization techniques, including the Big-M method and binary state variables …”
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New approach for scheduling crude oil operations von Pan, Ming, Li, Xiuxi, Qian, Yu

“… Mixed-integer linear programming model for refinery short-term scheduling of crude oil unloading with inventory management …”
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A hyperbox classifier model for identifying secure carbon dioxide reservoirs von Tan, Raymond R., Aviso, Kathleen B., Janairo, Jose Isagani B., Promentilla, Michael Angelo B.

“… In this work, a mixed integer linear programming model is developed to generate a binary hyperbox classifier for determining the integrity of a candidate storage site …”
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An optimal charging scheduling model and algorithm for electric buses von Bao, Zhaoyao, Li, Jiapei, Bai, Xuehan, Xie, Chi, Chen, Zhibin, Xu, Min, Shang, Wen-Long, Li, Hailong

“… •A mixed linear integer programming model with charging location and time decisions specified by location-specific charging time slots …”
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Capacity optimization of an isolated intersection under the phase swap sorting strategy von Yan, Chiwei, Jiang, Hai, Xie, Siyang

“… •We explicitly take into consideration all traffic movements.•We formulate the capacity optimization model as a binary MIP model …”
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A Study on the Application of Genetic Algorithms to the Optimization of Road Maintenance Strategies von Chiou, Yi-Shian, Ho, Min-Che, Song, Pin-Yu, Lin, Jyh-Dong, Lu, Szu-Han, Ke, Chi-yun

“… and under budget constraints. The model is formulated as an MILP (mixed-integer linear programming …”
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Task allocation and trajectory planning for multiple agents in the presence of obstacle and connectivity constraints with mixed‐integer linear programming von Afonso, Rubens J.M., Maximo, Marcos R.O.A., Galvão, Roberto K.H.

“… In this regard, two mixed‐integer linear programming formulations are presented, considering a trade …”
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A heuristic solution for fuzzy mixed-model line balancing problem von Hop, Nguyen Van

“… A fuzzy binary linear programming model is formulated for the problem. This fuzzy model is then transformed to a mixed zero–one program …”
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Multi-objective models for crop rotation planning problems von Pontes, Roberto Da Silva Gervasio, Brandão, Diego Nunes, Usberti, Fábio Luiz, De Assis, Laura Silva

“… (1) Develop a multi-objective model that explores both net return and crop diversity …”
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Scenario relaxation algorithm for finite scenario-based min–max regret and min–max relative regret robust optimization von Assavapokee, Tiravat, Realff, Matthew J., Ammons, Jane C., Hong, I-Hsuan

“… Most practical decision-making problems are compounded in difficulty by the degree of uncertainty and ambiguity surrounding the key model parameters …”
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