中文部分
胡曉輝,「粒子群優化算法介紹」, http://web.ics.purdue.edu/~hux/tutorials.shtml
邱煥能,「考慮現金流量現值之專案排程問題之研究」,國科會專題研究計畫成果報告,NSC86-2213-E-011-032 (1998)。
邱煥能,蔡登茂「有限資源多專案排程單專案排程法與多專案排程法之比較研究」,中國工業工程學刊,第十卷,第三期,第171-179頁(1993)。張嘉君,「應用模擬退火法來求解營建工程專案多重資源排程最佳化之研究」,朝陽科技大學營建工程系碩士論文(2003)。張榮芳,「電力用戶負載歸類及整合」,國立中山大學電機工程學系研究所博士論文(2002)。葉思緯,「應用粒子群最佳化演算法於多目標存貨分類之研究」, 元智大學工業工程與管理學系碩士論文(2003)。葉麗雯,「供應商產能有限及價格折扣下多產品多供應商最佳化採購決策」,元智大學工業工程與管理學系碩士論文,(2003)。蔡登茂,「專案資源需求規劃與排程問題之研究」,國立台灣科技大學工業管理系博士論文(2001)。蔡政峰,「求解有限資源專案排程問題最佳化之研究-以基因演算法求解」,碩士論文,國立成功大學工業管理研究所(2001)。蕭博文,「應用禁忌搜尋法求解營建工程專案多重資源排程最佳化之研究」,朝陽科技大學營建工程研究所碩士論文(2002)。賴豔君,「以塔布搜尋法求解作業關係不固定排程之研究,碩士論文」,
國立台灣科技大學營建工程系(2002)。
高文慶,「螞蟻演算法於有限資源專案排程最佳化之研究」,元智大學工業工程與管理學系碩士論文(2003)。英文部分
Abbasi, G. Y. and Y. A. Arabiat, “A heuristic to maximize the net present value for the resource-constrained project scheduling problem,” Project Management Journal, 32, 2, 17-24 (2001).
Abido, M. A., “Optima Power flow using Particle Swarm Optimization,” Electrical Power and Energy System, 24, 563-571(2004).
Alfares, H. K. and J. E. Bailey, “Integrated project task and manpower scheduling,” IEE Transactions, 29, 9, 711-717(1997).
Ahn, T. and S. S. Erenguc, “Resource constrained project scheduling problem with multiple crash able modes: an exact solution method,” Technical Report, College of Business Administration University of Florida Gainesville (1995).
Ayed, S., I. Ahmad and A.-M. Sabah, “Particle swarm optimization for task assignment problem,” Microprocessors and Microsystems, 26, 363–371 (2002).
Baroum, S. M. and J. H. Patterson, “The development of cash flow weight procedures for maximizing the net present value of a project,” Journal of Operations Management, 14, 209-227 (1996).
Bell, C. E. and J. Han, “A new heuristic solution method in resource-constrained project scheduling,” Naval Research logistics, 38, 3, 315-331 (1991).
Böttcher J., A. Drexl, R. Kolisch and F. Salewski, “Project scheduling under partially renewable resource constraints,” Management Science, 45, 4, 543-559 (1999).
Boctor, F. F., “Heuristics for the scheduling projects with restrictions and several resource-duration modes,” International Journal of Production Research, 31, 11, 2547-2558 (1993).
Boyd, R. and J. Richerson, “Culture and the Evolutionary Process,” Chicago: University of Chicago Press (1985).
Cho, J. H. and Y. D. Kim, “A simulated annealing algorithm for resource constrained project scheduling problem,” Journal of the Operational Research Society, 48, 7, 736-744 (1997).
Chiu, H. N. and D. M. Tsai, “An efficient search procedure for the resource-constrained multi-project scheduling problem with discounted cash flows,” Construction Management and Economics, 20, 1, 55-66 (2002).
Chiu, H. N. and D. M. Tsai, “An integer linear programming model and a modified branch and bound algorithms for project material requirements planning,” Journal of Information and Optimization Sciences, 24, 1, pp151-196 (2003).
De, P., J. Dunne, J. B. Ghosh and C. E. Wells, “The discrete time-cost tradeoff problem for project networks,” European Journal of Operational Research, 81, 225–38 (1995).
Dodin, B. and A. A. Elimam, “Integrated project scheduling and material planning with variable activity duration and rewards,” IEE Transactions, 33, 1005-1018 (2001).
De, P. G. W. and G. E. Whitehouse, “Applying the COMSOAL computer heuristic to the constrained resource allocation problem,” Computers and Industrial Engineering, 38, 413-422 (2000).
Doersch, R. H. and J. H. Patterson, “Scheduling a project to maximize its present value: a zero-one programming approach,” Management Science, 23, 8, 882-889 (1977).
Dorigo, M., V. Maniezzo, and A. Colorni, “Positive feedback as a search strategy,” Technical Report, Politecnico di Milano, Italy No.91-106 (1991).
Eberhart, R. and J. Kennedy, “A New Optimizer Using Particle Swarm Theory,” Proceedings of the Sixth International Symposium on Micro Machine and Human Science, Nagoya, Japan, 39-43 (1995).
Elmaghraby, S. E., “Activity networks: project planning and control by network models,” New York: Wiley(1977).
Herroelen, W., B. D. Reyck and E. Demeulemeester, “Project network models with discounted cash flows a guided tour through recent developments,” European Journal of Operational Research, 100, 97-121 (1997).
Herroelen, W., B. D. Reyck and E. Demeulemeester, “Resource- constrained project scheduling: a survey of recent developments,” Computers and Operations Research, 25, 279-302 (1998).
Hu, X. and R. Eberhart, “Multiobjcetive Optimization Using Dynamic Neighborhood Particle Swarm Optimization,” Proceedings of the 2002 Congress on Evolutionary Computation, Honolulu, H. I., 1677-1681 (2002).
Icmeli, O. and W. O. Rom, “Ensuring quality in resource constrained project scheduling,” European Journal of Operational Research, 103, 483–96 (1997).
Icmeli, O., “A branch-and-bound procedure for the resource-constrained project scheduling problem with discounted cash flows,” Management Science, 42, 10, 1395-1408 (1996).
Kennedy, J. and R. Eberhart, “Particle swarm optimization,” Proceedings of IEEE International Conference on Neural Networks (ICNN’95), Perth, Australia, IV, 1942–1948 (1995).
Khattab, M. and F. Choobineh, “A new heuristic c for project scheduling with a single resource constraint,” Computers and Industrial Engineering, 20, 3, 381-387(1991).
Kelley, J. E., “The critical path method: resources planning and scheduling,” Ch.21 in Industrial Scheduling, Prentice-Hall, Englewood Cliffs, New Jersey (1963).
Kolisch, R. and R. Padman, “An integrated survey of deterministic project scheduling,” Omega, 29, 249–272 (2001).
Kolisch, R., “Efficient priority rules for the resource constrained project scheduling problem,” Journal of Operations Managemen, 14(3), 179–192(1996).
Kurtulus, I. and E. W. Davis, “Multi-project scheduling: categorization of heuristic rules performance,” Management Science, 28, 2, 161-172(1982).
Kurtulus, I. and S. C. Narula, “Multi-project scheduling: analysis of project performance,” IIE Transactions, 17, 1, 58-66 (1986).
Lova, A., C. Maroto and P. Tormos, “A multicriteria heuristic method to improve resource allocation in multiproject scheduling,” European Journal of Operational Research, 127, 408-424(2000).
Mingozzi, A., V. Maniezzo, S. Ricciardelli and L. Bianco, “An exact algorithm for the resource-constrained project scheduling problem based on a new mathematical formulation,” Management Science, 44, 5, 714-729 (1998).
Pavlidis, K., E. Parsopoulos and M. N. Vrahatis, “Computing Nash equilibrium through computational intelligence Methods,” Journal of Computational and Applied Mathematics, 175, 113–136, (2005).
Nazareth, T., S. Verma, S. Bhattacharya and A. Bagchi, “The multiple resource constrained project scheduling problem: a breadth-first approach,” European Journal of Operational Research, 112, 2, 347-366 (1999).
Neumann, K. and J. Zimmermann, “Procedures for resource leveling and net present value problems in project scheduling with general temporal and resource constraints,” European Journal of Operational Research, 127, 425-433 (2000).
Padman, R., D. E. Smith-Daniels and V. L. Smith-Daniels, “Heuristic scheduling of resource-constrained projects with cash flows,” Naval Research Logistics, 44, 4, 365-371 (1997).
Patterson, J. H., “Alternative methods of project scheduling with limited resources,” Naval Research Logistics Quarterly, 20, 4, 767- 784 (1973).
Patterson, J. H., “Project scheduling: the effects of problem structure on heuristic performance,” Naval Research Logistics Quarterly, 23, 1, 95-122 (1976).
Patterson, J. H., F. B. Talbot, R. Slowionski and J. Weglarz, “Computational experience with a backtracking algorithm for solving a general class of precedence and resource-constrained scheduling problem,” European Journal of Operational Research, 49, 1, 68-79 (1990).
Payne, J. H., “Management of multiple simultaneous projects: a state-of art review,” International Journal of Project Management, 13, 163-168(1995).
Pinder, J. P. and A. S. Marucheck, “Using discounted cash flow heuristics to improve project net present value,” Journal of Operations Management, 14, 229-240 (1996).
Russell, A. H., “Cash flows in networks,” Management Science, 16, 5, 357-373 (1970).
Russell, R. A., “A comparison of heuristics for scheduling projects with cash flows and resource restrictions,” Management Science, 32, 10, 1291-1300 (1986).
Raynolds, C. W., “Flocks, herds, and schools: A distributed behavioral Model,” Computer Graphics, 21, 4, 25-34(1987).
Salerno, J., “Using the particle swarm optimization technique to train a recurrent neural model,” In Proceedings of the Ninth IEEE International Conference on Tools with Artificial Intelligence, 45-49 (1997).
Sepil, C. and N. Ortac, “Performance of the heuristics procedures for constrained projects with progress payment,” Journal of the Operational Research Society, 14, 3, 229-240 (1996).
Shanmuganayagam, V., “Current float techniques for resource scheduling,” Journal of Construction Engineering and Management, ASCE, 115, 3, 401-411 (1989).
Skutella, M., “Approximation algorithms for the discrete time- cost trade-off problem,” Mathematics of Operations Research, 23, 4, 909–929 (1998).
Slowionski, R., “Multi-objective project scheduling under multiple-category resource constraints, in: Slowionski R, WWeglarz J (Eds.),” Advances in project scheduling Amsterdam: Elsevier, 151–167 (1989).
Smith-Daniels, D. E. and V. L. Smith-Daniels, “Optimal project scheduling with materials ordering,” IIE Transactions, 19, 2, 122-129 (1987).
Smith-Daniels, D. E. and Aquilano, N. J. “A formal set of algorithms for project scheduling with critical path scheduling/material requirement planning,” Journal of Operational Management, 1, 2, 57-67 (1987).
Sprecher, A., R. Kolisch and A. Drexl, “Semi-active, active, and non-delay schedules for the resource-constrained project scheduling problem,” European Journal of Operational Research, 80, 94–102 (1995).
Sprecher, A. and A. Drexl, “Multi-mode resource-constrained project scheduling by a simple, general and powerful sequencing algorithm,” European Journal of Operational Research, 107, 2, 431-450 (1998).
Steinberg, E., W. B. Lee and B. M. Khumawala, “A requirements planning system for the space shuttle operations schedule,” Journal of Operational Management, 1, 2, 66-76(1980).
Shi, Y. H. and R. C. Eberhart, “A modified particle swarm optimizer,” In IEEE World Congress on Computational Intelligence, IEEE Press, (1998a).
Shi, Y. and R. C. Eberhart, “Parameter selection in particle swarm optimization,” In Evolutionary Programming VII (Berlin, 1998), pp.591–600 (1998b).
Wagner, H. M. and T. M. Whitin, “Dynamic version of the economic lot size model,” Management Science, 5, 1, pp89-96 (1958).
Wiest, J. D., “The scheduling of large projects with limited resource,” Unpublished Ph.D. Thesis, Carnegie Institute of Technology (1963).
Yang, K. K., F. B. Talbot and J. H. Patterson, “Scheduling a project to maximize its net present value: an integer programming approach,” European Journal of Operational Research, 64, 2, 188-198 (1993).
Zamani, R. and L. Y. Shue, “Solving project scheduling problem with a heuristic learning algorithm,” Journal of the Operational Research Society, 49, 7, 709-716 (1998).
Zhenya, H., Y. L. Chengjian, G. Xiqi, Y. Susu, R. C. Eberhart and Y. Shi, “Extracting Rules from Fuzzy Neural Network by Particle Swarm Optimization,” Proceedings of the IEEE International Conference on Evolutionary Computation, Anchorage, Alaska, 74-77 (1998).