Multiobjective visible spectrum optimization: a genetic algorithm approach

[1]  G. Wyszecki,et al.  Color Science Concepts and Methods , 1982 .

[2]  Mahdi Nezamabadi,et al.  Color Appearance Models , 2014, J. Electronic Imaging.

[3]  C. Darwin.  Charles Darwin The Origin of Species by means of Natural Selection or The Preservation of Favoured Races in the Struggle for Life , 2004 .

[4]  D. E. Goldberg,et al.  Genetic Algorithms in Search , 1989 .

[5]  Robin Allenson,et al.  Genetic Algorithms with Gender for Multi-function Optimisation , 1992 .

[6]  W. Stiles.  Colour Vision , 1957, Nature.

[7]  A. Eiben,et al.  A multi-sexual genetic algorithm for multiobjective optimization , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

[8]  W. Swanson.  Human Color Vision. 2nd ed. , 1998 .

[9]  Martina Gorges-Schleuter,et al.  Application of Genetic Algorithms to Task Planning and Learning , 1992, Parallel Problem Solving from Nature.

[10]  Peter J. Fleming,et al.  An Overview of Evolutionary Algorithms in Multiobjective Optimization , 1995, Evolutionary Computation.

[11]  David S. Todd,et al.  MULTIPLE CRITERIA GENETIC ALGORITHMS IN ENGINEERING DESIGN AND OPERATION , 1997 .

[12]  K. Deb.  Non-linear Goal Programming Using Multi-Objective Genetic Algorithms , 1998 .

[13]  B. F. Jones,et al.  A simple computer program for designing standard high-pressure sodium lamps , 1984 .

[14]  D. L. Macadam,et al.  Visual sensitivities to combined chromaticity and luminance differences. , 1949, Journal of the Optical Society of America.

[15]  D. L. Macadam.  Projective Transformations of I. C. I. Color Specifications , 1937 .

[16]  D. Dupont.  Study of the reconstruction of reflectance curves based on tristimulus values: Comparison of methods of optimization , 2002 .

[17]  Kalyanmoy Deb,et al.  Evolutionary Multi-Criterion Optimization: First International Conference, EMO 2001, Zurich, Switzerland, March 7-9, 2001 Proceedings , 2001 .

[18]  Zbigniew Michalewicz,et al.  Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.

[19]  James P. Ignizio,et al.  The determination of a subset of efficient solutions via goal programming , 1981, Comput. Oper. Res..

[20]  Noboru Ohta,et al.  Color changes caused by specified changes of the illuminant (A) , 1975 .

[21]  Patrick D. Surry,et al.  A Multi-objective Approach to Constrained Optimisation of Gas Supply Networks: the COMOGA Method , 1995, Evolutionary Computing, AISB Workshop.

[22]  A. Osyczka.  An approach to multicriterion optimization problems for engineering design , 1978 .

[23]  Trevor N. Mudge,et al.  A Parallel Genetic Algorithm for Multiobjective Microprocessor Design , 1995, ICGA.

[24]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..

[25]  Kalyanmoy Deb,et al.  Real-coded Genetic Algorithms with Simulated Binary Crossover: Studies on Multimodal and Multiobjective Problems , 1995, Complex Syst..

[26]  David E. Goldberg,et al.  Real-coded Genetic Algorithms, Virtual Alphabets, and Blocking , 1991, Complex Syst..

[27]  Peter Boyce,et al.  Just-Perceivable Color Differences between Similar Light Sources in Display Lighting Applications , 2000 .

[28]  John R. Koza,et al.  Survey of genetic algorithms and genetic programming , 1995, Proceedings of WESCON'95.

[29]  C. Fonseca,et al.  GENETIC ALGORITHMS FOR MULTI-OBJECTIVE OPTIMIZATION: FORMULATION, DISCUSSION, AND GENERALIZATION , 1993 .

[30]  C. Tseng,et al.  MINIMAX MULTIOBJECTIVE OPTIMIZATION IN STRUCTURAL DESIGN , 1990 .

[31]  W. R. Brown.  Color discrimination of twelve observers. , 1957, Journal of the Optical Society of America.

[32]  Vincent Joseph Tarascio,et al.  Pareto's methodological approach to economics : a study in the history of some scientific aspects of economic thought , 1968 .

[33]  M. Koedam,et al.  The Application of Simulated Spectral Power Distributions in Lamp Development , 1972 .

[34]  C. A. Coello Coello,et al.  A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques , 1999, Knowledge and Information Systems.

[35]  Peter J. Fleming,et al.  Gas turbine engine controller design using multiobjective genetic algorithms , 1995 .

[36]  W. A. Thornton,et al.  Luminosity and color-rendering capability of white light. , 1971, Journal of the Optical Society of America.

[37]  Dr. Zbigniew Michalewicz,et al.  How to Solve It: Modern Heuristics , 2004 .

[38]  Ian C. Parmee,et al.  Multi-objective Optimisation and Preliminary Airframe Design , 1998 .

[39]  Lucien Duckstein.  Multiobjective Optimization in Structural Design: The Model Choice Problem , 1981 .

[40]  Eric R. Zieyel.  Operations research : applications and algorithms , 1988 .

[41]  Thomas Bäck,et al.  An Overview of Evolutionary Computation , 1993, ECML.

[42]  S. Ranjithan,et al.  Using genetic algorithms to solve a multiple objective groundwater pollution containment problem , 1994 .

[43]  Alan D. Christiansen,et al.  MOSES: A MULTIOBJECTIVE OPTIMIZATION TOOL FOR ENGINEERING DESIGN , 1999 .

[44]  Color vision in patients with a silicone intraocular lens , 1996, Journal of cataract and refractive surgery.

[45]  W. D. Wright.  A re-determination of the trichromatic coefficients of the spectral colours , 1929 .

[46]  D. L. Macadam.  The Theory of the Maximum Visual Efficiency of Colored Materials , 1935 .

[47]  Kay Chen Tan,et al.  Multi-Objective Genetic Algorithm Based Time and Frequency Domain Design Unification of Linear Control Systems , 1997 .

[48]  Gunther Wyszecki,et al.  Color Science: Concepts and Methods, Quantitative Data and Formulae, 2nd Edition , 2000 .

[49]  Prabhat Hajela,et al.  Genetic search strategies in multicriterion optimal design , 1991 .

[50]  J. van Leeuwen,et al.  Evolutionary Multi-Criterion Optimization , 2003, Lecture Notes in Computer Science.

[51]  Hajime Kita,et al.  Multi-objective optimization by genetic algorithms: a review , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

[52]  J. J. Vos,et al.  Improved color fundamentals offer a new view on photometric additivity , 1990, Vision Research.

[53]  C. Darwin.  On the Origin of Species by Means of Natural Selection: Or, The Preservation of Favoured Races in the Struggle for Life , 2019 .

[54]  B. P. Turner,et al.  Sulfur Lamps—Progress in Their Development , 1997 .

[55]  K. Deb,et al.  Hybrid methods for multi-objective evolutionary algorithms , 2002 .

[56]  Jared L. Cohon,et al.  Multiobjective programming and planning , 2004 .

[57]  D. E. Goldberg,et al.  Genetic Algorithms in Search, Optimization & Machine Learning , 1989 .

[58]  David E. Goldberg,et al.  Genetic Algorithms with Sharing for Multimodalfunction Optimization , 1987, ICGA.

[59]  Roger M. Y. Ho,et al.  Goal programming and extensions , 1976 .

[60]  D. L. Macadam.  Specification of Small Chromaticity Differences , 1943 .

[61]  Alan D. Christiansen,et al.  Using a new GA-based multiobjective optimization technique for the design of robot arms , 1998, Robotica.

[62]  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.

[63]  F. Greene.  A method for utilizing diploid/dominance in genetic search , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

[64]  J. Cohon.  Multiobjective optimization in water resources systems , 1976 .

[65]  A. Stockman,et al.  Human cone spectral sensitivities: a progress report , 1998, Vision Research.

[66]  R. Weale,et al.  The variation with age of the spectral transmissivity of the living human crystalline lens. , 1959, Gerontologia.

[67]  David L. MacAdam,et al.  Maximum Attainable Luminous Efficiency of Various Chromaticities , 1950 .

[68]  Zbigniew Michalewicz,et al.  Genetic algorithms + data structures = evolution programs (3rd ed.) , 1996 .

[69]  W. R. Brown.  The effect of field size and chromatic surroundings on colar discrimination. , 1952, Journal of the Optical Society of America.

[70]  Kalyanmoy Deb,et al.  Multi-objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems , 1999, Evolutionary Computation.

[71]  Lothar Thiele,et al.  A Comparison of Selection Schemes used in Genetic Algorithms , 1995 .

[72]  Wolfgang Walter.  Optimum Lamp Spectra , 1978 .

[73]  A better colorimetric standard observer for color‐vision studies: The stiles and burch 2° color‐matching functions , 1982 .

[74]  Michael Siminovitch,et al.  A high-efficiency indirect lighting system utilizing the solar 1000 sulfur lamp , 1997 .

[75]  Dorothea Heiss-Czedik,et al.  An Introduction to Genetic Algorithms. , 1997, Artificial Life.

[76]  Peter J. Fleming,et al.  Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization , 1993, ICGA.

[77]  Kalyanmoy Deb,et al.  Nonlinear goal programming using multi-objective genetic algorithms , 2001, J. Oper. Res. Soc..

[78]  A. Robertson.  Computation of Correlated Color Temperature and Distribution Temperature , 1968 .

[79]  William A. Thornton,et al.  Toward a more accurate and extensible colorimetry. Part V. Testing visually matching pairs of lights for possible rod participation on the Aguilar‐Stiles model , 1998 .

[80]  Christopher R. Houck,et al.  A Genetic Algorithm for Function Optimization: A Matlab Implementation , 2001 .

[81]  David E. Goldberg,et al.  The Design of Innovation: Lessons from and for Competent Genetic Algorithms , 2002 .

[82]  Jeffrey Horn,et al.  Multiobjective Optimization Using the Niched Pareto Genetic Algorithm , 1993 .

[83]  J. Cohen,et al.  Color Science: Concepts and Methods, Quantitative Data and Formulas , 1968 .

[84]  D. B. Judd,et al.  Color in Business, Science, and Industry , 1953 .

[85]  Joseph Ernest Petavel,et al.  The colorimetric properties of the spectrum , 1931 .

[86]  W. A. Thornton,et al.  High Performance Fluorescent Lamps , 1972 .

[87]  Metal Halide Lamps with Ceramic Envelopes: A Breakthrough in Color Control , 1997 .

[88]  Carlos A. Coello Coello,et al.  Optimal design of reinforced concrete beams using genetic algorithms , 1997 .

[89]  Mark D. Fairchild,et al.  Evaluating the 1931 CIE color matching functions , 2002, Other Conferences.

[90]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[91]  Ian Ashdown,et al.  Non-Imaging Optics Design Using Genetic Algorithms , 1994 .

[92]  S R Forrest,et al.  Vacuum-deposited, nonpolymeric flexible organic light-emitting devices. , 1997, Optics letters.

[93]  Xiaojian Liu,et al.  Genetic approach to optimal topology/controller design of adaptive structures , 1998 .

[94]  C. B. Lucasius,et al.  Multicriteria target vector optimization of analytical procedures using a genetic algorithm , 1993 .

[95]  Gunar E. Liepins,et al.  Some Guidelines for Genetic Algorithms with Penalty Functions , 1989, ICGA.

[96]  Kalyanmoy Deb,et al.  Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms , 1994, Evolutionary Computation.

[97]  J. Pokorny,et al.  Spectral sensitivity of the foveal cone photopigments between 400 and 500 nm , 1975, Vision Research.

[98]  Carlos A. Coello Coello,et al.  Handling preferences in evolutionary multiobjective optimization: a survey , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

[99]  W. A. Thornton.  Toward a more accurate and extensible colorimetry. Part Ii. Discussion , 1992 .

[100]  Michael H. Brill,et al.  Color appearance models , 1998 .

[101]  W. A. Thornton.  Toward a more accurate and extensible colorimetry. Part I. Introduction. the visual colorimeter‐spectroradiometer. Experimental results , 1992 .

[102]  Henry F. Ivey,et al.  Color and Efficiency of Luminescent Light Sources , 1963 .

[103]  D. L. Macadam.  Maximum Visual Efficiency of Colored Materials , 1935 .

[104]  Neil A. Thacker,et al.  Optimal Pairwise Geometric Histograms , 1997, BMVC.

[105]  Gary B. Lamont,et al.  Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.

[106]  M. Koedam,et al.  Measurement and computer-aided optimization of spectral power distributions , 1971 .

[107]  D. L. Macadam.  Visual Sensitivities to Color Differences in Daylight , 1942 .

[108]  W. Stiles,et al.  Interim Report to the Commission Internationale de l'Eclairage, Zurich, 1955, on the National Physical Laboratory's Investigation of Colour-matching (1955) , 1955 .

[109]  The Society of Dyers and Colourists , 2022, Nature.

[110]  C. V. Trigt.  Color rendering, a reassessment , 1999 .

[111]  Singiresu S. Rao.  Game theory approach for multiobjective structural optimization , 1987 .

[112]  W Walter,et al.  Optimum phosphor blends for fluorescent lamps. , 1971, Applied optics.

[113]  John H. Holland,et al.  Outline for a Logical Theory of Adaptive Systems , 1962, JACM.

[114]  R. A. Weale,et al.  Color in Business, Science and Industry, 3rd ed , 1976 .

[115]  Alan D. Christiansen,et al.  Two new GA-based methods for multiobjective optimization , 1998 .

[116]  Eckart Zitzler,et al.  Evolutionary algorithms for multiobjective optimization: methods and applications , 1999 .

[117]  Deane B. Judd.  Estimation of Chromaticity Differences and Nearest Color Temperature on the Standard 1931 ICI Colorimetric Coordinate System , 1936 .

[118]  J. J. Vos.  Colorimetric and photometric properties of a 2° fundamental observer , 1978 .

[119]  M. H. Brill,et al.  How the CIE 1931 color-matching functions were derived from Wright-Guild data , 1997 .

[120]  Gareth Jones,et al.  Searching Databases of Two-Dimensional and Three-Dimensional Chemical Structures Using Genetic Algorithms , 1993, International Conference on Genetic Algorithms.

[121]  R. H. Morris,et al.  Multivariate Normality of the Color-Matching Process* , 1956 .

[122]  J. Schanda,et al.  The Concept of Correlated Colour Temperature Revisited , 2001 .

[123]  Abraham Charnes,et al.  Optimal Estimation of Executive Compensation by Linear Programming , 1955 .

[124]  William A. Thornton.  Toward a more accurate and extensible colorimetry. Part VI. Improved weighting functions. Preliminary results , 1998 .

[125]  Noboru Ohta,et al.  Designing illuminants that render given objects in prescribed colors , 1976 .

[126]  Ashok D. Belegundu,et al.  Multi-objective optimization of laminated ceramic composites using genetic algorithms , 1994 .

[127]  Alan D. Christiansen,et al.  An empirical study of evolutionary techniques for multiobjective optimization in engineering design , 1996 .