| 1 |
Exploiting submodularity to quantify near-optimality in multi-agent coverage problems
Sun XM, Cassandras CG, Meng XY
Automatica, 100, 349, 2019 |
| 2 |
Generation of an equipment module database - A maximum coverage problem
Eilermann M, Schach C, Sander P, Bramsiepe C, Schembecker G
Chemical Engineering Research & Design, 148, 164, 2019 |
| 3 |
Optimal placement of imperfect water quality sensors in water distribution networks
de Winter C, Palleti VR, Worm D, Kooij R
Computers & Chemical Engineering, 121, 200, 2019 |
| 4 |
Submodular Optimization for Consensus Networks With Noise-Corrupted Leaders
Mackin E, Patterson S
IEEE Transactions on Automatic Control, 64(7), 3054, 2019 |
| 5 |
An optimization tool to design the field of a solar power tower plant allowing heliostats of different sizes
Carrizosa E, Dominguez-Bravo CA, Fernandez-Cara E, Quero M
International Journal of Energy Research, 41(8), 1096, 2017 |
| 6 |
Energy management in Multi-Commodity Smart Energy Systems with a greedy approach
Shi HZ, Blaauwbroek N, Nguyen PH, Kamphuis R
Applied Energy, 167, 385, 2016 |
| 7 |
Wind turbine layout optimization with multiple hub height wind turbines using greedy algorithm
Chen K, Song MX, Zhang X, Wang SF
Renewable Energy, 96, 676, 2016 |
| 8 |
Optimization of multiple receivers solar power tower systems
Carrizosa E, Dominguez-Bravo C, Fernandez-Cara E, Quero M
Energy, 90, 2085, 2015 |
| 9 |
Optimization of wind farm micro-siting for complex terrain using greedy algorithm
Song MX, Chen K, He ZY, Zhang X
Energy, 67, 454, 2014 |
| 10 |
Optimal phasing of the European tidal stream resource using the greedy algorithm with penalty function
Neill SP, Hashemi MR, Lewis MJ
Energy, 73, 997, 2014 |
