A multi-objective stochastic approach to combinatorial technology space exploration
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[1] Lothar Thiele,et al. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results , 2000, Evolutionary Computation.
[2] Joshua D. Knowles. Local-search and hybrid evolutionary algorithms for Pareto optimization , 2002 .
[3] Peter J. Fleming,et al. Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization , 1993, ICGA.
[4] J. A. Bondy,et al. Graph Theory with Applications , 1978 .
[5] Gary B. Lamont,et al. Multiobjective evolutionary algorithms: classifications, analyses, and new innovations , 1999 .
[6] Kalyanmoy Deb,et al. A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II , 2000, PPSN.
[7] Elena Marchiori,et al. Evolutionary Algorithms for the Satisfiability Problem , 2002, Evolutionary Computation.
[8] G. Rodriguez,et al. Risk-based technology portfolio optimization for early space mission design , 2006, IEEE Transactions on Aerospace and Electronic Systems.
[9] J. E. Renaud,et al. Investigation of reliability method formulations in DAKOTA/UQ , 2004 .
[10] Jon C. Helton,et al. Challenge Problems : Uncertainty in System Response Given Uncertain Parameters ( DRAFT : November 29 , 2001 ) , 2001 .
[11] C. Bron,et al. Algorithm 457: finding all cliques of an undirected graph , 1973 .
[12] Jeremy E. Oakley,et al. Probability is perfect, but we can't elicit it perfectly , 2004, Reliab. Eng. Syst. Saf..
[13] Wynn C. Stirling. Satisficing Games and Decision Making: With Applications to Engineering and Computer Science , 2003 .
[14] Bryce Alexander Roth,et al. Application of Genetic Algorithms in the Engine Technology Selection Process , 2004 .
[15] Nicholas J. Radcliffe,et al. Non-Linear Genetic Representations , 1992, PPSN.
[16] T. Cruse,et al. Advanced probabilistic structural analysis method for implicit performance functions , 1990 .
[17] Layne T. Watson,et al. Parallel unit tangent vector computation for homotopy curve tracking on a hypercube , 1990, CSC '90.
[18] Wayne Zimmerman,et al. Decision Tree Assessment of Challenging Technologies for Mission to Europa , 2003 .
[19] G. Box,et al. On the Experimental Attainment of Optimum Conditions , 1951 .
[20] Dimitri N. Mavris,et al. Technology Infusion and Resource Allocation for a Civil Tiltrotor , 2000 .
[21] Han Gil Chae,et al. A Possibilistic Approach to Rotorcraft Design through a Multi-Objective Evolutionary Algorithm , 2006 .
[22] Dimitri N. Mavris,et al. Advanced Design of Complex Systems Using the Collaborative Visualization Environment (CoVE) , 2005 .
[23] George E. P. Box,et al. Empirical Model‐Building and Response Surfaces , 1988 .
[24] Arjun K. Gupta,et al. Handbook of beta distribution and its applications , 2004 .
[25] Xin Yao,et al. Evolutionary Optimization , 2002 .
[26] Robert M. Love,et al. Risk Analysis Approach to Transport Aircraft Technology Assessment , 1988 .
[27] George A. Hazelrigg,et al. Validation of engineering design alternative selection methods , 2003 .
[28] Katherine V. Schinasi. Best Practices: Using a Knowledge-Based Approach to Improve Weapon Acquisition , 2004 .
[29] Gary B. Lamont,et al. Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art , 2000, Evolutionary Computation.
[30] David S. Johnson,et al. Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .
[31] S. Martello,et al. Algorithms for Knapsack Problems , 1987 .
[32] Alberto Elfes,et al. Postoptimality Analysis in the Selection of Technology Portfolios , 2006 .
[33] Cheol-Shin Kwon,et al. Hierarchies with dependence of technological alternatives: A cross-impact hierarchy process , 2004, Eur. J. Oper. Res..
[34] Eckart Zitzler,et al. Are All Objectives Necessary? On Dimensionality Reduction in Evolutionary Multiobjective Optimization , 2006, PPSN.
[35] Piero P. Bonissone,et al. Multiobjective financial portfolio design: a hybrid evolutionary approach , 2005, 2005 IEEE Congress on Evolutionary Computation.
[36] Dimitri N. Mavris,et al. A Technique for Selecting Emerging Technologies for a Fleet of Commercial Aircraft to Maximize R&D Investment , 2001 .
[37] Dimitri N. Mavris,et al. Technology Identification, Evaluation, and Selection for Commercial Transport Aircraft , 1999 .
[38] Jano I. van Hemert,et al. Graph Coloring with Adaptive Evolutionary Algorithms , 1998, J. Heuristics.
[39] Jan Osburg,et al. A Collaborative Design Environment to Support Multidisciplinary Conceptual Systems Design , 2005 .
[40] Herbert S. Wilf,et al. Algorithms and Complexity , 2010, Lecture Notes in Computer Science.
[41] Paul R. Garvey. A Family of Joint Probability Models for Cost and Schedule Uncertainties , 1995 .
[42] M. A. Stuchly,et al. Electromagnetic System Design Using Genetic Algorithms , 1999 .
[43] D. Keefer,et al. Three-Point Approximations for Continuous Random Variables , 1983 .
[44] Louis Cohen,et al. Quality Function Deployment: How to Make QFD Work for You , 1995 .
[45] H. Greenberg,et al. A Branch Search Algorithm for the Knapsack Problem , 1970 .
[46] John E. Dennis,et al. Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems , 1998, SIAM J. Optim..
[47] Dimitri N. Mavris,et al. A New Method for Aircraft Concept Selection Using Multicriteria Interactive Genetic Algorithms , 2005 .
[48] Robert Shishko,et al. NASA technology assessment using real options valuation , 2004, Syst. Eng..
[49] Daniel P. Raymer,et al. Aircraft Design: A Conceptual Approach , 1989 .
[50] Rias J. van Wyk,et al. Strategic technology scanning , 1997 .
[51] Jon C. Helton,et al. An exploration of alternative approaches to the representation of uncertainty in model predictions , 2003, Reliab. Eng. Syst. Saf..
[52] Kalyanmoy Deb,et al. Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms , 1994, Evolutionary Computation.
[53] Dimitri N. Mavris,et al. A probabilistic approach for examining aircraft concept feasibility and viability , 2000 .
[54] D. G. Robinson. A survey of probabilistic methods used in reliability, risk and uncertainty analysis: Analytical techniques 1 , 1998 .
[55] J. Dennis,et al. A closer look at drawbacks of minimizing weighted sums of objectives for Pareto set generation in multicriteria optimization problems , 1997 .
[56] Michael Brassard,et al. The Memory Jogger II , 1994 .
[57] Thomas Bäck,et al. An Overview of Evolutionary Computation , 1993, ECML.
[58] John E. Beasley,et al. A Genetic Algorithm for the Multidimensional Knapsack Problem , 1998, J. Heuristics.
[59] Murray Turoff,et al. The Delphi Method: Techniques and Applications , 1976 .
[60] Carlos A. Coello Coello,et al. Evolutionary Multi-Objective Optimization: A Critical Review , 2003 .
[61] P. Kolesar. A Branch and Bound Algorithm for the Knapsack Problem , 1967 .
[62] Paolo Toth,et al. Knapsack Problems: Algorithms and Computer Implementations , 1990 .
[63] George J. Klir,et al. Generalized information theory: aims, results, and open problems , 2004, Reliab. Eng. Syst. Saf..
[64] Ellis Horowitz,et al. Computing Partitions with Applications to the Knapsack Problem , 1974, JACM.
[65] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[66] Carlos A. Coello Coello,et al. A Short Tutorial on Evolutionary Multiobjective Optimization , 2001, EMO.
[67] Eckart Zitzler,et al. Evolutionary algorithms for multiobjective optimization: methods and applications , 1999 .
[68] D. Malcolm,et al. Application of a Technique for Research and Development Program Evaluation , 1959 .
[69] Egon Balas,et al. An Algorithm for Large Zero-One Knapsack Problems , 1980, Oper. Res..
[70] B. Manly. Multivariate Statistical Methods : A Primer , 1986 .
[71] Michelle Kirby,et al. Technology Portfolio Assessments Using a Multi-Objective Genetic Algorithm , 2004 .
[72] Ian C. Parmee,et al. Multiobjective Satisfaction within an Interactive Evolutionary Design Environment , 2000, Evolutionary Computation.
[73] Andy J. Keane,et al. Robust design using Bayesian Monte Carlo , 2008 .
[74] Hongyi Sun,et al. A packing-multiple-boxes model for R&D project selection and scheduling , 2005 .
[75] J. Mikkola. Portfolio management of R&D projects: implications for innovation management , 2001 .
[76] Jeffrey Horn,et al. The nature of niching: genetic algorithms and the evolution of optimal, cooperative populations , 1997 .
[77] P. Duncombe,et al. Multivariate Descriptive Statistical Analysis: Correspondence Analysis and Related Techniques for Large Matrices , 1985 .
[78] Douglas C. Montgomery,et al. Response Surface Methodology: Process and Product Optimization Using Designed Experiments , 1995 .
[79] S. Cunningham,et al. Technology futures analysis: Toward integration of the field and new methods , 2004 .
[80] Ramana V. Grandhi,et al. Adaption of fast Fourier transformations to estimate structural failure probability , 2003 .
[81] Thomas Bäck,et al. An evolutionary approach to combinatorial optimization problems , 1994, CSC '94.
[82] Oliver Bandte,et al. A probabilistic multi-criteria decision making technique for conceptual and preliminary aerospace systems design , 2000 .
[83] S. Martello,et al. An upper bound for the zero-one knapsack problem and a branch and bound algorithm , 1977 .
[84] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[85] Carlos A. Coello Coello,et al. THEORETICAL AND NUMERICAL CONSTRAINT-HANDLING TECHNIQUES USED WITH EVOLUTIONARY ALGORITHMS: A SURVEY OF THE STATE OF THE ART , 2002 .
[86] R. Bellman. DYNAMIC PROGRAMMING AND THE NUMERICAL SOLUTION OF VARIATIONAL PROBLEMS , 1955 .
[87] Mark A. Lorell,et al. Lessons Learned from the F/A-22 and F/A-18 E/F Development Programs , 2005 .
[88] Edward L. Melnick,et al. Misspecifications of the Normal Distribution , 1982 .
[89] Alberto Elfes,et al. Toward a systematic approach for selection of NASA technology portfolios , 2004 .
[90] Dimitri N. Mavris,et al. Adaptive Selection of Engine Technology Solution Sets from a Large Combinatorial Space , 2001 .
[91] Michelle Rene Kirby. An Approach for Strategic Planning of Future Technology Portfolios , 2006 .
[92] Marco Laumanns,et al. SPEA2: Improving the strength pareto evolutionary algorithm , 2001 .
[93] Thomas Bäck,et al. The zero/one multiple knapsack problem and genetic algorithms , 1994, SAC '94.
[94] G. Dantzig. Discrete-Variable Extremum Problems , 1957 .
[95] Eswaran Subrahmanian,et al. Design and planning under uncertainty: issues on problem formulation and solution , 2003, Comput. Chem. Eng..
[96] D. West. Introduction to Graph Theory , 1995 .
[97] Frank Kursawe,et al. A Variant of Evolution Strategies for Vector Optimization , 1990, PPSN.
[98] Jon C. Helton,et al. Alternative representations of epistemic uncertainty , 2004, Reliab. Eng. Syst. Saf..
[99] L. Darrell Whitley,et al. An overview of evolutionary algorithms: practical issues and common pitfalls , 2001, Inf. Softw. Technol..
[100] D. Wolpert,et al. No Free Lunch Theorems for Search , 1995 .
[101] Marco Laumanns,et al. SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization , 2002 .
[102] Eric Fox,et al. The Pratt & Whitney Probabilistic Design System , 1994 .
[103] Thomas M. English,et al. Evaluation of Evolutionary and Genetic Optimizers: No Free Lunch , 1996, Evolutionary Programming.
[104] Zbigniew Michalewicz,et al. A Survey of Constraint Handling Techniques in Evolutionary Computation Methods , 1995 .
[105] Patrick D. Surry,et al. Fundamental Limitations on Search Algorithms: Evolutionary Computing in Perspective , 1995, Computer Science Today.
[106] Michelle Kirby,et al. Technology Portfolio Assessments Using a Gene-Correction Genetic Algorithm , 2003 .
[107] Dimitri N. Mavris,et al. A two-step optimization approach for technology selection , 2006 .
[108] Joseph Culberson. On the Futility of Blind Search , 1996 .
[109] Frédéric Villeneuve,et al. A Method for Concept and Technology Exploration of Aerospace Architectures , 2007 .
[110] Lothar Thiele,et al. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach , 1999, IEEE Trans. Evol. Comput..
[111] R. T. Haftka,et al. Tracing the Efficient Curve for Multi-objective Control-Structure Optimization , 1991 .
[112] Richard F. Hartl,et al. Pareto Ant Colony Optimization: A Metaheuristic Approach to Multiobjective Portfolio Selection , 2004, Ann. Oper. Res..
[113] Dimitri N. Mavris,et al. A Process for Tracking and Assessing Emerging Technology Development Programs for Resource Allocation , 2001 .
[114] C. Perry,et al. Estimating the Mean and Variance of Subjective Distributions in PERT and Decision Analysis , 1975 .
[115] Luc Huyse,et al. Solving Problems of Optimization Under Uncertainty as Statistical Decision Problems , 2001 .
[116] M. Degroot,et al. Probability and Statistics , 2021, Examining an Operational Approach to Teaching Probability.
[117] Sean P. Kenny,et al. Needs and Opportunities for Uncertainty- Based Multidisciplinary Design Methods for Aerospace Vehicles , 2002 .
[118] Paul F. Dienemann,et al. ESTIMATING COST UNCERTAINTY USING MONTE CARLO TECHNIQUES , 1966 .
[119] Clay A. Ward. Technology Tracking for the High-Speed Research Program , 1998 .
[120] Dimitri N. Mavris,et al. Adaptive Selection of Pareto Optimal Engine Technology Solution Sets , 2002 .
[121] C. Hwang,et al. Fuzzy Multiple Objective Decision Making: Methods And Applications , 1996 .
[122] C. R. Weisbin,et al. Extending the START framework: Computation of optimal capability development portfolios using a decision theory approach , 2006 .
[123] Dimitri N. Mavris,et al. IPPD Through Robust Design Simulation for an Affordable Short Haul Civil Tiltrotor , 1997 .
[124] Eric Fox,et al. On the accuracy of various probabilistic methods , 2000 .
[125] Dimitri N. Mavris,et al. Robust Design Simulation: A Probabilistic Approach to Multidisciplinary Design , 1999 .
[126] Yasuhiro Mori,et al. Probability analysis method using Fast Fourier transform and its application , 1997 .