2008 |
19 | EE | Yeting Yu,
Jianping Pan,
Ming Lu,
Lin Cai,
Daniel Hoffman:
Evaluating "no-new-wires" home networks.
LCN 2008: 869-875 |
18 | EE | Hoi-Ching Lam,
Ming Lu:
Simulation-based, optimized scheduling of limited bar-benders over multiple building sites.
Winter Simulation Conference 2008: 2353-2360 |
17 | EE | Fei Dai,
Ming Lu:
Photo-based 3D modeling of construction resources for visualization of operations simulation: Case of modeling a precast façade.
Winter Simulation Conference 2008: 2439-2446 |
16 | EE | Steven Orla Kimbrough,
Gary J. Koehler,
Ming Lu,
David Harlan Wood:
On a Feasible-Infeasible Two-Population (FI-2Pop) genetic algorithm for constrained optimization: Distance tracing and no free lunch.
European Journal of Operational Research 190(2): 310-327 (2008) |
2007 |
15 | EE | Ming Lu,
Yang Zhang,
Jian-Ping Zhang:
Construction planning methodology integrating operations simulation and four dimensional computer aided design (4D-CAD).
SCSC 2007: 1193-1200 |
14 | EE | Ming Lu,
Sze-Chun Lau,
Evan K. Y. Chan:
Combined simulation modeling using simplified discrete event simulation approach: a mining case study.
SCSC 2007: 421-428 |
2006 |
13 | EE | Wah-Ho Chan,
Ming Lu,
Jian-Ping Zhang:
Attaining cost efficiency in constructing sports facilities for Beijing 2008 Olympic Games by use of operations simulation.
Winter Simulation Conference 2006: 2063-2070 |
12 | EE | Ming Lu,
Daniel S. Yeung,
Wing W. Y. Ng:
Applying undistorted neural network sensitivity analysis in iris plant classification and construction productivity prediction.
Soft Comput. 10(1): 68-77 (2006) |
2005 |
11 | EE | Ming Lu,
Da-peng Wu,
Jian-Ping Zhang:
A Particle Swarm Optimization-Based Approach to Tackling Simulation Optimization of Stochastic, Large-Scale and Complex Systems.
ICMLC 2005: 528-537 |
10 | EE | Ming Lu,
Lap-Chi Wong:
Comparing PROMODEL and SDESA in modeling construction operations.
Winter Simulation Conference 2005: 1524-1532 |
9 | EE | Ming Lu,
Hoi-Ching Lam:
Optimized concrete delivery scheduling using combined simulation and genetic algorithms.
Winter Simulation Conference 2005: 2572-2580 |
8 | EE | Steven Orla Kimbrough,
Ming Lu:
Simple reinforcement learning agents: Pareto beats Nash in an algorithmic game theory study.
Inf. Syst. E-Business Management 3(1): 1-19 (2005) |
2004 |
7 | EE | Mohamed F. Mokbel,
Ming Lu,
Walid G. Aref:
Hash-Merge Join: A Non-blocking Join Algorithm for Producing Fast and Early Join Results.
ICDE 2004: 251-263 |
6 | EE | Hong Qi,
Dayou Liu,
Chengquan Hu,
Ming Lu,
Liang Zhao:
A Parallel Algorithm Based on Search Space Partition for Generating Concepts.
ICPADS 2004: 241-248 |
5 | EE | Steven Orla Kimbrough,
Ming Lu,
David Harlan Wood:
Exploring the Evolutionary Details of a Feasible-Infeasible Two-Population GA.
PPSN 2004: 292-301 |
4 | EE | Ming Lu,
Wah-Ho Chan:
Modeling Concurrent Operational Interruptions in Construction Activities with Simplified Discrete Event Simulation Approach (SDESA).
Winter Simulation Conference 2004: 1260-1267 |
2003 |
3 | EE | Steven Orla Kimbrough,
Ming Lu,
David Harlan Wood,
Dong-Jun Wu:
Exploring a Two-Population Genetic Algorithm.
GECCO 2003: 1148-1159 |
2002 |
2 | | Steven Orla Kimbrough,
Ming Lu,
David Harlan Wood,
Dong-Jun Wu:
Exploring A Two-market Genetic Algorithm.
GECCO 2002: 415-422 |
1992 |
1 | | Ming Lu,
A. Yavuz Oruç:
Efficient Networks for Realizing Point-toPoint Assignments in Parallel Processors.
SPDP 1992: 487-490 |