Evolutionary algorithms for multiobjective optimization: methods and applications
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[1] J. Marchal. Cours d'economie politique , 1950 .
[2] K. Dejong,et al. An analysis of the behavior of a class of genetic adaptive systems , 1975 .
[3] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[4] David S. Johnson,et al. Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .
[5] C. Hwang. Multiple Objective Decision Making - Methods and Applications: A State-of-the-Art Survey , 1979 .
[6] Joel N. Morse,et al. Reducing the size of the nondominated set: Pruning by clustering , 1980, Comput. Oper. Res..
[7] J. Koski. Multicriterion Optimization in Structural Design , 1981 .
[8] John M. Chambers,et al. Graphical Methods for Data Analysis , 1983 .
[9] Beat Kleiner,et al. Graphical Methods for Data Analysis , 1983 .
[10] Michael P. Fourman,et al. Compaction of Symbolic Layout Using Genetic Algorithms , 1985, ICGA.
[11] J. E. Baker. Adaptive Selection Methods for Genetic Algorithms , 1985, ICGA.
[12] J. D. Schaffer,et al. Multiple Objective Optimization with Vector Evaluated Genetic Algorithms , 1985, ICGA.
[13] Jr. Earl E. Swartzlander,et al. VLSI Signal Processing Systems , 1985 .
[14] Hirotaka Nakayama,et al. Theory of Multiobjective Optimization , 1985 .
[15] Jared L. Cohon,et al. 6 – Multicriteria programming: brief review and application , 1985 .
[16] J. Gero,et al. REDUCING THE PARETO OPTIMAL SET IN MULTICRITERIA OPTIMIZATION(With Applications to Pareto Optimal Dynamic Programming) , 1985 .
[17] M. F.,et al. Bibliography , 1985, Experimental Gerontology.
[18] John J. Grefenstette,et al. Optimization of Control Parameters for Genetic Algorithms , 1986, IEEE Transactions on Systems, Man, and Cybernetics.
[19] David E. Goldberg,et al. Genetic Algorithms with Sharing for Multimodalfunction Optimization , 1987, ICGA.
[20] James E. Baker,et al. Reducing Bias and Inefficienry in the Selection Algorithm , 1987, ICGA.
[21] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[22] P. J. Green,et al. Density Estimation for Statistics and Data Analysis , 1987 .
[23] R. S. Laundy,et al. Multiple Criteria Optimisation: Theory, Computation and Application , 1989 .
[25] Gilbert Syswerda,et al. Uniform Crossover in Genetic Algorithms , 1989, ICGA.
[26] Aimo A. Törn,et al. Global Optimization , 1999, Science.
[27] Kalyanmoy Deb,et al. An Investigation of Niche and Species Formation in Genetic Function Optimization , 1989, ICGA.
[28] D. E. Goldberg,et al. Genetic Algorithms in Search , 1989 .
[29] Alan S. Perelson,et al. Genetic Algorithms and the Immune System , 1990, PPSN.
[30] Lawrence. Davis,et al. Handbook Of Genetic Algorithms , 1990 .
[31] Paolo Toth,et al. Knapsack Problems: Algorithms and Computer Implementations , 1990 .
[32] M. Engels,et al. GRAPE: a CASE tool for digital signal parallel processing , 1990, IEEE ASSP Magazine.
[33] Frank Kursawe,et al. A Variant of Evolution Strategies for Vector Optimization , 1990, PPSN.
[34] Prabhat Hajela,et al. Genetic search strategies in multicriterion optimal design , 1991 .
[35] P. Vaidyanathan. Multirate Systems And Filter Banks , 1992 .
[36] P. Hajela,et al. Genetic search strategies in multicriterion optimal design , 1991 .
[37] Alan S. Perelson,et al. Population Diversity in an Immune System Model: Implications for Genetic Search , 1992, FOGA.
[38] Heinrich Meyr,et al. High level software synthesis for signal processing systems , 1992, [1992] Proceedings of the International Conference on Application Specific Array Processors.
[39] Giovanni De Micheli,et al. Design Space Exploration , 1992 .
[40] J. Ringuest. Multiobjective Optimization: Behavioral and Computational Considerations , 1992 .
[41] Fred W. Glover,et al. A user's guide to tabu search , 1993, Ann. Oper. Res..
[42] John R. Koza,et al. Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.
[43] Alan S. Perelson,et al. Searching for Diverse, Cooperative Populations with Genetic Algorithms , 1993, Evolutionary Computation.
[44] Jeffrey Horn,et al. Multiobjective Optimization Using the Niched Pareto Genetic Algorithm , 1993 .
[45] Peter J. Fleming,et al. Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization , 1993, ICGA.
[46] Alan S. Perelson,et al. Using Genetic Algorithms to Explore Pattern Recognition in the Immune System , 1993, Evolutionary Computation.
[47] C. Fonseca,et al. GENETIC ALGORITHMS FOR MULTI-OBJECTIVE OPTIMIZATION: FORMULATION, DISCUSSION, AND GENERALIZATION , 1993 .
[48] Kalyanmoy Deb,et al. Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms , 1994, Evolutionary Computation.
[49] Edward A. Lee,et al. Minimizing memory requirements for chain-structured synchronous dataflow programs , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.
[50] Edward A. Lee,et al. Ptolemy: A Framework for Simulating and Prototyping Heterogenous Systems , 2001, Int. J. Comput. Simul..
[51] Thomas Bäck,et al. The zero/one multiple knapsack problem and genetic algorithms , 1994, SAC '94.
[52] Zbigniew Michalewicz,et al. Genetic Algorithms for the 0/1 Knapsack Problem , 1994, ISMIS.
[53] David E. Goldberg,et al. A niched Pareto genetic algorithm for multiobjective optimization , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.
[54] P. Pardalos,et al. Handbook of global optimization , 1995 .
[55] C. Poloni. Hybrid GA for Multi Objective Aerodynamic Shape Optimisation , 1995 .
[56] Gert Goossens,et al. Code Generation for Embedded Processors , 1995 .
[57] R. Spillman. Solving large knapsack problems with a genetic algorithm , 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.
[58] Heinrich Meyr,et al. Scheduling for optimum data memory compaction in block diagram oriented software synthesis , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.
[59] Jan Paredis,et al. The Symbiotic Evolution of Solutions and Their Representations , 1995, International Conference on Genetic Algorithms.
[60] David B. Fogel,et al. Evolutionary Computation: Towards a New Philosophy of Machine Intelligence , 1995 .
[61] Peter J. Fleming,et al. An Overview of Evolutionary Algorithms in Multiobjective Optimization , 1995, Evolutionary Computation.
[62] Edward A. Lee,et al. Optimal parenthesization of lexical orderings for DSP block diagrams , 1995, VLSI Signal Processing, VIII.
[63] J. Eheart,et al. Using Genetic Algorithms to Solve a Multiobjective Groundwater Monitoring Problem , 1995 .
[64] Georges R. Harik,et al. Finding Multimodal Solutions Using Restricted Tournament Selection , 1995, ICGA.
[65] Peter J. Fleming,et al. Multiobjective genetic algorithms made easy: selection sharing and mating restriction , 1995 .
[66] Garrison W. Greenwood,et al. Fitness Functions for Multiple Objective Optimization Problems: Combining Preferences with Pareto Rankings , 1996, FOGA.
[67] Melanie Mitchell,et al. An introduction to genetic algorithms , 1996 .
[68] Murray B. Anderson,et al. Launch conditions and aerodynamic data extraction by an elitist pareto genetic algorithm , 1996 .
[69] Edward A. Lee,et al. Software Synthesis from Dataflow Graphs , 1996 .
[70] Hajime Kita,et al. Multi-objective optimization by genetic algorithms: a review , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.
[71] Masatoshi Sakawa,et al. An Interactive Fuzzy Satisficing Method for Multiobjective Multidimensional 0-1 Knapsack Problems Through Genetic Algorithms , 1996, International Conference on Evolutionary Computation.
[72] Thomas Bäck,et al. Evolutionary Algorithms in Theory and Practice , 1996 .
[73] Ernest S. Kuh,et al. Design space exploration using the genetic algorithm , 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.
[74] Samir W. Mahfoud. Niching methods for genetic algorithms , 1996 .
[75] Hisao Ishibuchi,et al. Multi-objective genetic local search algorithm , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.
[76] Peter J. Fleming,et al. On the Performance Assessment and Comparison of Stochastic Multiobjective Optimizers , 1996, PPSN.
[77] H. Ishibuchi,et al. Multi-objective genetic algorithm and its applications to flowshop scheduling , 1996 .
[78] Lothar Thiele,et al. A Comparison of Selection Schemes Used in Evolutionary Algorithms , 1996, Evolutionary Computation.
[79] Wolfgang Banzhaf,et al. Genetic Programming: An Introduction , 1997 .
[80] Pratyush Sen,et al. A Multiple Criteria Genetic Algorithm for Containership Loading , 1997, ICGA.
[81] Manuel Valenzuela-Rendón,et al. A Non-Generational Genetic Algorithm for Multiobjective Optimization , 1997, ICGA.
[82] S. Ranji Ranjithan,et al. The Neighborhood Constraint Method: A Genetic Algorithm-Based Multiobjective Optimization Technique , 1997, ICGA.
[83] Zbigniew Michalewicz,et al. Handbook of Evolutionary Computation , 1997 .
[84] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[85] Thomas Bäck,et al. Evolutionary computation: comments on the history and current state , 1997, IEEE Trans. Evol. Comput..
[86] A. Eiben,et al. A multi-sexual genetic algorithm for multiobjective optimization , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).
[87] Thomas Bäck,et al. Evolutionary computation: Toward a new philosophy of machine intelligence , 1997, Complex..
[88] Tobias Blickle,et al. Theory of evolutionary algorithms and application to system synthesis , 1997 .
[89] António Gaspar-Cunha,et al. Use of Genetic Algorithms in Multicriteria Optimization to Solve Industrial Problems , 1997, ICGA.
[90] G. Rudolph. On a multi-objective evolutionary algorithm and its convergence to the Pareto set , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).
[91] Jürgen Teich,et al. System-Level Synthesis Using Evolutionary Algorithms , 1998, Des. Autom. Embed. Syst..
[92] Lothar Thiele,et al. An evolutionary algorithm for multiobjective optimization: the strength Pareto approach , 1998 .
[93] Shigeru Obayashi,et al. Niching and Elitist Models for MOGAs , 1998, PPSN.
[94] Geoffrey T. Parks,et al. Selective Breeding in a Multiobjective Genetic Algorithm , 1998, PPSN.
[95] Kaisa Miettinen,et al. Nonlinear multiobjective optimization , 1998, International series in operations research and management science.
[96] Peter J. Fleming,et al. Multiobjective optimization and multiple constraint handling with evolutionary algorithms. II. Application example , 1998, IEEE Trans. Syst. Man Cybern. Part A.
[97] Marco Laumanns,et al. A Spatial Predator-Prey Approach to Multi-objective Optimization: A Preliminary Study , 1998, PPSN.
[98] Peter J. Fleming,et al. Multiobjective optimization and multiple constraint handling with evolutionary algorithms. I. A unified formulation , 1998, IEEE Trans. Syst. Man Cybern. Part A.
[99] Lothar Thiele,et al. Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study , 1998, PPSN.
[100] David A. Van Veldhuizen,et al. Evolutionary Computation and Convergence to a Pareto Front , 1998 .
[101] Jürgen Teich,et al. Buffer Memory Optimization in DSP Applications - An Evolutionary Approach , 1998, PPSN.
[102] Jürgen Teich,et al. 3D exploration of software schedules for DSP algorithms , 1999, CODES '99.
[103] David Corne,et al. Assessing the Performance of the Pareto Archived Evolution Strategy , 1999 .
[104] Jürgen Teich,et al. Evolutionary algorithm based exploration of software schedules for digital signal processors , 1999 .
[105] Carlos A. Coello Coello,et al. An updated survey of evolutionary multiobjective optimization techniques: state of the art and future trends , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[106] Kalyanmoy Deb,et al. Evolutionary Algorithms for Multi-Criterion Optimization in Engineering Design , 1999 .
[107] H. Schwefel,et al. Approximating the Pareto Set: Concepts, Diversity Issues, and Performance Assessment , 1999 .
[108] Peter J. Fleming,et al. Assessing the performance of multiobjective genetic algorithms for optimization of a batch process scheduling problem , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[109] Jürgen Teich,et al. Optimized software synthesis for DSP using randomization techniques: (revised version of TIK Report 32) , 1999 .
[110] Gary B. Lamont,et al. Multiobjective evolutionary algorithms: classifications, analyses, and new innovations , 1999 .
[111] David Corne,et al. The Pareto archived evolution strategy: a new baseline algorithm for Pareto multiobjective optimisation , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[112] Lothar Thiele,et al. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach , 1999, IEEE Trans. Evol. Comput..
[113] Kalyanmoy Deb,et al. Multi-objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems , 1999, Evolutionary Computation.
[114] L. Hennig,et al. Dynamic properties of endogenous phytochrome A in Arabidopsis seedlings. , 1999, Plant physiology.
[115] Lothar Thiele,et al. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results , 2000, Evolutionary Computation.
[116] L. Hennig,et al. Degradation of phytochrome A and the high irradiance response in Arabidopsis: a kinetic analysis , 2000 .
[117] C. Coello,et al. CONSTRAINT-HANDLING USING AN EVOLUTIONARY MULTIOBJECTIVE OPTIMIZATION TECHNIQUE , 2000 .
[118] Kalyanmoy Deb,et al. A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II , 2000, PPSN.
[119] Zbigniew Michalewicz,et al. Evolutionary Computation 1 , 2018 .
[120] Jürgen Teich,et al. Evolutionary algorithms for the synthesis of embedded software , 2000, IEEE Trans. Very Large Scale Integr. Syst..
[121] Jürgen Teich,et al. Multidimensional Exploration of Software Implementations for DSP Algorithms , 2000, J. VLSI Signal Process..
[122] Zbigniew Michalewicz,et al. Evolutionary Computation 2 , 2000 .
[123] David W. Corne,et al. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy , 2000, Evolutionary Computation.
[124] Günter Rudolph,et al. Convergence properties of some multi-objective evolutionary algorithms , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).
[125] Lothar Thiele,et al. Multiobjective genetic programming: reducing bloat using SPEA2 , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[126] Jonathan A. Wright,et al. An Infeasibility Objective for Use in Constrained Pareto Optimization , 2001, EMO.
[127] Marco Laumanns,et al. On the convergence and diversity-preservation properties of multi-objective evolutionary algorithms , 2001 .
[128] Marco Laumanns,et al. SPEA2: Improving the strength pareto evolutionary algorithm , 2001 .