ارائه مدلی یکپارچه برای انتخاب سبد پروژه و سرمایه گذاری در منابع با هدف بیشینه سازی ارزش خالص فعلی و حل آن توسط الگوریتم ژنتیک

C.L. Hwang, F.A. Tillman, W.K. Wei and C.H. Lie. Optimal
schedule maintenance policy based on multiple-criteria decision-making.
IEEE transaction on reliability, Vol. R-28, No 5, 1979; 394-397.
M. Sakawa. Multi-objective optimization by the surrogate worth
trade-off method. IEEE Transaction on reliability, Vol. 27, No 5, 1978;
311-314.
T. Inagaki, K. Inoue and H. Akashi. Interactive optimization of
system reliability under multiple objectives. IEEE Transaction on
reliability,Vol.R-27, NO 4 1978;264-267.
M.Sakawa. Multi-objective reliability and redundancy optimization of
a seies-parallel system by the surrogate worth trade-off method.
Microelectronic and Reliability, Vol.17,No 4, 1978;465-467.
Y.Nakagawa. Studies on optimal design of high reliability system
single and multiple objective nonlinear integer programming.
Ph.D.thesis Kyoto university. 1978.
M.Sakawa. Optimal reliability-design of a series-parallel system by a
large-scale multi-objective optimization method. IEEE Transaction on
Reliability, Vol.R-30 1981; 173-174.
M.Sakawa. Interactive multi-objective optimization by Sequential
Proxy Optimization Technique (SPOT). IEEE Transaction on
Reliability, Vol.R-31, 1982;461-464.
K.B.Misra and U.Sharma. An efficient approach for multiple criteria
redundancy optimization problems. Microelectronic and Reliability,
Vol.31,No 2-3, 1991; 285-294.
K.B.Misra and U.Sharma. Multi-criteria optimization for combined
reliability and redundancy allocation in systems employing mixed
redundancies. Microelectronic and Reliability, Vol.31, 1991;323-335.
A. K. Dhingra. Optimal apportionment of reliability and redundancy
in series systems under multiple objectives. IEEE Transaction on
Reliability, Vol.41,No 4, 1992;576-582.
M.Sasaki, M.Gen and M.Ida. A method for solving reliability
optimization problem by fuzzy multi-objective 0-1 linear programming.
 … 119
Electronics and Communications in Japan Part II: Fundamental
Electronic Science 1992; 106-116.
G.S.Mahaparta, T.K.Roy. Fuzzy multi-objective mathematical
programming on reliability optimization model. Applied Mathematics
and Computing, Vol. 174, No 1, 2006;643-659
Daniel Salazar, Claudio M.Rocco, Blas j.Galvan. Optimization of
constrained multiple-objective reliability problems using evolutionary
algorithms. Reliability engineering and system safety, Vol.91, No 9,
2006;1057-1070.
Zhigang tian, Ming j zuo. Redundancy allocation for multi-state
systems using physical programming and genetic algorithms. Reliability
engineering and system safety, Vol.91, No 9, 2006;1049-1056.
David.W.Coit and Abdullah konak. Multiple weighted objectives
heuristic for the redundancy allocation problem. IEEE transaction on
reliability, Vol.55,No 3, 2006;551-558
Jian-jua zhao, Zhaoheng liu, My-thein dao. Reliability optimization
using multi-objective ant colony system approaches. Reliability
engineering and system safety, Vol.92, No 1, 2007;109-120.
Tavakkoli-Moghaddam, R., Safari J. and Sassani, F., Reliability
optimization of series-parallel systems with a choice of redundancy
strategies using a genetic algorithm, Reliability Engineering and System
Safety, Vol. 93, No 4, 2008; 550-556.
Sadjadi, S.J and Soltani, R. An efficient heuristic versus a robust
hybrid meta-heuristic for general framework of serial-parallel
redundancy problem. Reliability engineering and system safety, Vol.94,
No 11, 2009;1703-1710.
Amir azaron, Cahit perkgoz, Hideki Katagiri, Kouske Kato,
Masatoshi Sakawa. Multi-objective reliability optimization for
dissimilar-unitcold-standby system using a genetic algorithm.
Computers & operation research Vol.36,No 5, 2009;1562-1571.
Zai Wang, Tianshi Chen. Ke Tang, Xin Yao.A multi-objective
Approach to redundancy allocation problem in parallel-series
systems. IEEE transaction 2009;582-589.

Zhaojun Li,Haitao Liao,David W.Coit. A two-stage approach for
solving multi-objective decision making with applications to system
reliability optimization. Reliability engineering and system safety
Vol.94, No 10, 2009;1585-1592.
Yun-chia liamg and Min-Hua Lo. Multi-objective redundancy
allocation optimization using a variable neighborhood search algorithm.
J heuristic Vol.16, No 3, 2010;511-535.
E.Zio and R.Bazzo. Level diagrams analysis of Pareto front for multiobjective
system redundancy allocation. Reliability engineering and
system safety, Vol.96,No 5, 2011;569-580.
Banu soylu,selda kapan ulusoy. A preference ordered classification
for a multi-objective max-min redundancy allocation problem.
Computers & Operation Research Vol.38 , No 12, 2011; 1855-1866.
Isis Didier lins and Enrique Lopez Droguett.Redundancy allocation
problems considering systems with imperfect repairs using multiobjective
genetic algorithms and discrete event simulation. Simulation
modeling practice and theory,Vol.19,No 1, 2011;362-381.
Laxminarayan Sahoo, Asoke Kumar Bhunia, Parmad Kumar Kapur.
Genetic algorithm based multi-objective reliability optimization in
interval environment. Computers & Industrial Engineering, Vol. 62, No
1, 2012;152–160.
Sajadi, S.J and Soltani, R. Alternative design redundancy allocation
using an efficient heuristic and a honey bee mating algorithm. Expert
Systems with Applications, Vol. 39, No 1 ,2012;990-999.
Chambari, A., Rahmati, S.H,. Najafi, A.A and Karimi, A,. A biobjective
model to optimize reliability and cost of system with a choice
of redundancy strategies, Computers & Industrial Engineering, Vol. 63,
No 1, 2012; 109-119
Safaei, N., Tavakkoli-Moghaddam, R. and Corey Kiassat.,
Annealing-based particle swarm optimization to solve the redundant
reliability, Applied Soft Computing. Vol. 12, No 11,2012; 3462-3471.
Chern MS. On the computational complexity of reliability
redundancy allocation in a series system. Oper Res Lett Vol.11, No
5,1992; 309–315.

E. Atashpas-Gargari, C. Lucas, Colonial competitive algorithm. E
Congress on Evolutionary Computation, 2007. 4661- 4667.
Deb, K., Pratap, A.,Agrawal, S., and Meyarivan, T. A fast and elitist
multi-objective genetic algorithm:NSGA-II.IEEE Transaction on
Evolutionary Computation, Vol.6, No 2 ,2002- 182-197.
Knowels,J.D., and corne, D.W.(1999). The Pareto archived
evolution strategy: A new baseline algorithm for Pareto multi-objective
optimization. In congress on Evolutionary Computation(CEC99),
Volume 1,Piscataway,NJ, 98-105.IEEE Press.
Corne, D.W., Knowles, J.D., and Oates, M.J.(2000). The Pareto
envelope-based selection algorithm for multi objective optimization. In :
M.S. et al.(Ed.), Parallel problem solving from Nature-PPSN VI, Berlin,
839-848. Springer.
Tavakkoli-Moghaddam, R., Azarkish, M. and Sadeghnejad A.,
Solving a multi-objective job shop scheduling problem with sequencedependent
setup times by a Pareto archive PSO combined with genetic
operators and VNS, Int. J. of Advanced Manufacturing Technology, Vol.
53,No 5-8, 2011; 733–750