(Fang C,Wang L. Survey of study on resource- constrained project scheduling[J]. Control and Decision, 2010, 25(5): 641-650.)
[3]
Zheng X L, Wang L, Wang S Y. A novel fruit fly optimization algorithm for the semiconductor final testing scheduling problem[J]. Knowledge-Based Systems, 2014, 57(1): 95-103.
[4]
Wang L, Fang C, Suganthan P N, et al. Solving system-level synthesis problem by a multi-objective estimation of distribution algorithm[J]. Expert Systems with Applications, 2014, 41(5): 2496-2513.
[5]
Chen W N, Zhang J. Ant colony optimization for software project scheduling and staffing with an eventbased scheduler[J]. IEEE Trans on Software Engineering, 2013, 39(1): 1-17.
[6]
Blazewicz J, Lenstra J K, Kan A H G. Scheduling subject to resource constraints: Classification and complexity[J]. Discrete Applied Mathematics, 1983, 5(1): 11-24.
[7]
Hartmann S, Kolisch R. Experimental evaluation of state-of-the-art heuristics for the resource-constrained project scheduling problem[J]. European J of Operational Research, 2000, 127(2): 394-407.
[8]
Kolisch R, Hartmann S. Experimental investigation of heuristics for resource-constrained project scheduling: An update[J]. European J of Operational Research, 2006, 174(1): 23-37.
[9]
Al-Fawzan M A, Haouari M. A bi-objective model for robust resource-constrained project scheduling[J]. Int J of Production Economics, 2005, 96(2): 175-187.
[10]
Pollack-Johnson B, Liberatore M J. Incorporating quality considerations into project time/cost tradeoff analysis and decision making[J]. IEEE Trans on Engineering Management, 2006, 53(4): 534-542.
[11]
Mokhtari H, Baradaran Kazemzadeh R, Salmasnia A. Time-cost tradeoff analysis in project management: An ant system approach[J]. IEEE Trans on Engineering Management, 2011, 58(1): 36-43.
[12]
Ballest′?n F, Blanco R. Theoretical and practical fundamentals for multi-objective optimization in resourceconstrained project scheduling problems[J]. Computers & Operations Research, 2011, 38(1): 51-62.
[13]
Wang L, Fang C, Mu C D, et al. A Pareto-archived estimation-of-distribution algorithm for multiobjective resource-constrained project scheduling problem[J]. IEEE Trans on Engineering Management, 2013, 60(6): 617-626.
[14]
Rao R V, Savsani V J, Vakharia D P. Teaching-learningbased optimization: A novel method for constrained mechanical design optimization problems[J]. Computer- Aided Design, 2011, 43(3): 303-315.
[15]
Rao R V, Savsani V J, Balic J. Teaching-learning-based optimization algorithm for unconstrained and constrained real-parameter optimization problems[J]. Engineering Optimization, 2012, 44(12): 1447-1462.
[16]
Rao R V, Patel V. Multi-objective optimization of heat exchangers using a modified teaching-learningbased optimization algorithm[J]. Applied Mathematical Modelling, 2013, 37(3): 1147-1162.
[17]
Krishnanand K R, Panigrahi B K, Rout P K, et al. Application of multi-objective teaching-learning-based algorithm to an economic load dispatch problem with incommensurable objectives[M]. Swarm, Evolutionary, and Memetic Computing. Berlin: Springer, 2011: 697-705.
[18]
Kolisch R. Serial and parallel resource-constrained project scheduling methods revisited: Theory and computation[J]. European J of Operational Research, 1996, 90(2): 320-333.
[19]
Hartmann S. A competitive genetic algorithm for resourceconstrained project scheduling[J]. Naval Research Logistics, 1998, 45(7): 733-750.
[20]
Li K Y, Willis R J. An iterative scheduling technique for resource-constrained project scheduling[J]. European J of Operational Research, 1992, 56(3): 370-379.
[21]
Kolisch R, Sprecher A. PSPLIB-a project scheduling problem library: OR software-ORSEP operations research software exchange program[J]. European J of Operational Research, 1996, 96(1): 205-216.
[22]
Zitzler E, Thiele L. Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach[J]. IEEE Trans on Evolutionary Computation, 1999, 3(4): 257-271.