An Indexed Bibliography of Genetic Algorithms Theory and Comparisons

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[3]  Clare Bates Congdon,et al.  A comparison of genetic algorithms and other machine learning systems on a complex classification task from common disease research , 1995 .

[4]  T. Vinkó,et al.  Characterizations of trajectory structure of fitness landscapes based on pairwise transition probabilities of solutions , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[5]  X. Yao,et al.  Analysing crossover operators by search step size , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

[6]  Luka Sopta,et al.  Binary-coded and real-coded genetic algorithm in pipeline flow optimization , 1999 .

[7]  William B. Langdon,et al.  Some Considerations on the Reason for Bloat , 2002, Genetic Programming and Evolvable Machines.

[8]  Alain Delchambre,et al.  A genetic algorithm for bin packing and line balancing , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[9]  Günter Rudolph,et al.  Convergence of non-elitist strategies , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

[10]  Vanderlaan,et al.  EVOLUTIONARY PROGRAMMING IV , 1995 .

[11]  Duc Truong Pham,et al.  Optimization of Multi-Modal Discrete Functions Using Genetic Algorithms , 1993 .

[12]  Garrison W. Greenwood Chaotic behavior in evolution strategies , 1997 .

[13]  Yilong Lu,et al.  Adaptive wide null steering for digital beamforming array with the complex coded genetic algorithm , 2000, Proceedings 2000 IEEE International Conference on Phased Array Systems and Technology (Cat. No.00TH8510).

[14]  Mohand Boughanem,et al.  A Study on Using Genetic Niching for Query Optimisation in Document Retrieval , 2002, ECIR.

[15]  Joe Suzuki,et al.  A Markov chain analysis on simple genetic algorithms , 1995, IEEE Trans. Syst. Man Cybern..

[16]  Paul Molitor,et al.  New Crossover Methods For Sequencing Problems , 1996, PPSN.

[17]  Yehuda Zeiri,et al.  Study of the lowest energy structure of atomic clusters using a genetic algorithm , 1997 .

[18]  Randall S. Sexton,et al.  Optimization of neural networks: A comparative analysis of the genetic algorithm and simulated annealing , 1999, Eur. J. Oper. Res..

[19]  Chrystopher L. Nehaniv,et al.  Linear Analysis of Genetic Algorithms , 1998, Theor. Comput. Sci..

[20]  David B. Fogel Can the schema theorem make long-term predictions about schema propagation? , 2001, SPIE Optics + Photonics.

[21]  Wei Shi,et al.  Intelligent permuting and its optimization , 1995, Other Conferences.

[22]  Stefano R. Bonissone,et al.  Evolutionary algorithms for multi-objective optimization: fuzzy preference aggregation and multisexual EAs , 2001, SPIE Optics + Photonics.

[23]  S. E. Carlson,et al.  Comparison of Three Non-derivative Optimization Methods with a Genetic Algorithm for Component Selection , 1994 .

[24]  William Seffens,et al.  Fitness Function Analysis of Biological Genetic Codes using an Evolutionary Algorithm , 2000, GECCO.

[25]  Rahul Rai,et al.  Machine-tool selection and operation allocation in FMS: Solving a fuzzy goal-programming model using a genetic algorithm , 2002 .

[26]  Michael D. Vose,et al.  Generalizing the Notion of Schema in Genetic Algorithms , 1991, Artif. Intell..

[27]  Kumar Chellapilla,et al.  Combining mutation operators in evolutionary programming , 1998, IEEE Trans. Evol. Comput..

[28]  Michael L. Mauldin,et al.  Maintaining Diversity in Genetic Search , 1984, AAAI.

[29]  Helen G. Cobb,et al.  An Investigation into the Use of Hypermutation as an Adaptive Operator in Genetic Algorithms Having Continuous, Time-Dependent Nonstationary Environments , 1990 .

[30]  Linet Özdamar,et al.  Experiments with new stochastic global optimization search techniques , 2000, Comput. Oper. Res..

[31]  William E. Hart,et al.  Protein structure prediction with evolutionary algorithms , 1999 .

[32]  Xin Yao,et al.  An Analysis of Evolutionary Algorithms Based on Neighborhood and Step Sizes , 1997, Evolutionary Programming.

[33]  Petri Välisuo,et al.  Near Infrared Wavelength Relevance Detection of Ultraviolet Radiation-Induced Erythema , 2008 .

[34]  Sancho Salcedo-Sanz,et al.  Optimal design of optical reference signals by use of a genetic algorithm. , 2005, Optics letters.

[35]  Christopher J. Taylor,et al.  Model-based image interpretation using genetic algorithms , 1992, Image Vis. Comput..

[36]  Erol Gelenbe,et al.  A class of genetic algorithms with analytical solution , 1997, Robotics Auton. Syst..

[37]  T. Niwa,et al.  Analyses of Simple Genetic Algorithms and Island Model Parallel Genetic Algorithms , 1997, ICANNGA.

[38]  Sanghamitra Bandyopadhyay,et al.  Further Experimentations on the Scalability of the GEMGA , 1998, PPSN.

[39]  Heinz Mühlenbein,et al.  Strategy Adaption by Competing Subpopulations , 1994, PPSN.

[40]  J. E. Baker,et al.  An analysis of the effects of selection in genetic algorithms , 1989 .

[41]  James C. Bezdek,et al.  Nearest prototype classification: clustering, genetic algorithms, or random search? , 1998, IEEE Trans. Syst. Man Cybern. Part C.

[42]  Miroslav Dudík,et al.  A maximum entropy approach to species distribution modeling , 2004, ICML.

[43]  Peter V. Coveney,et al.  Protein Structure Prediction as a Hard Optimization Problem: The Genetic Algorithm Approach , 1997, physics/9708012.

[44]  H. Shimodaira DCGA: a diversity control oriented genetic algorithm , 1997 .

[45]  Kenneth A. De Jong,et al.  A formal analysis of the role of multi-point crossover in genetic algorithms , 1992, Annals of Mathematics and Artificial Intelligence.

[46]  John S. DaPonte,et al.  Comparison of genetic algorithm systems with neural network and statistical techniques for analysis of cloud structures in midlatitude storm systems , 1997, Pattern Recognit. Lett..

[47]  Jonathan M. Goodman,et al.  Genetic Algorithms in Conformational Analysis , 1998, J. Chem. Inf. Comput. Sci..

[48]  Tatsuya Masuda,et al.  An Acquiring Method of Fuzzy Reasoning Rules by Genetic Algorithm with Variable Gene Length , 1995 .

[49]  Royston Goodacre,et al.  Rapid identification of closely related muscle foods by vibrational spectroscopy and machine learning. , 2005, The Analyst.

[50]  Nicholas J. Radcliffe,et al.  Genetic Set Recombination , 1992, FOGA.

[51]  Daniel G. Cole,et al.  Comparison study of genetic algorithms in feedback controller design , 1995, Smart Structures.

[52]  Wan Weishui,et al.  Convergence theorem of genetic algorithm , 1996, 1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929).

[53]  A. Tuson,et al.  The Single Chromosome's Guide to Dating , 1997, ICANNGA.

[54]  S. Sorooshian,et al.  Shuffled complex evolution approach for effective and efficient global minimization , 1993 .

[55]  Jorge Puente,et al.  Initialization in Genetic Algorithms for Constraint Satisfaction Problems , 2001, IWANN.

[56]  John H. Kalivas,et al.  Further investigation on a comparative study of simulated annealing and genetic algorithm for wavelength selection , 1995 .

[57]  David S. Johnson,et al.  Local Optimization and the Traveling Salesman Problem , 1990, ICALP.

[58]  José Carlos Príncipe,et al.  A Markov Chain Framework for the Simple Genetic Algorithm , 1993, Evolutionary Computation.

[59]  B. Nowrouzian,et al.  Crossover and mutation in genetic algorithms employing canonical signed-digit number system , 1997, Proceedings of 40th Midwest Symposium on Circuits and Systems. Dedicated to the Memory of Professor Mac Van Valkenburg.

[60]  Mohammad Bagher Menhaj,et al.  A GA-Based Algorithm with a Very Fast Rate of Convergence , 2001, Fuzzy Days.

[61]  Joanna Kolodziej Modelling Hierarchical Genetic Strategy as a Family of Markov Chains , 2001, PPAM.

[62]  William L. Carr,et al.  Optimization in a distributed processing environment using genetic algorithms with multivariate crossover , 1992, CSC '92.

[63]  Shiu Yin Yuen,et al.  A Novel Robust Statistical Design of the Repeated Genetic Algorithm , 2001, CAIP.

[64]  Tong Heng Lee,et al.  Incrementing Multi-objective Evolutionary Algorithms: Performance Studies and Comparisons , 2001, EMO.

[65]  P. Villar,et al.  A multiobjective genetic algorithm for feature selection and granularity learning in fuzzy-rule based classification systems , 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

[66]  K.C.S. Murty,et al.  Retaining diversity of search point distribution through a breeder genetic algorithm for neural network learning , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

[67]  M. Ebner On the search space of genetic programming and its relation to nature's search space , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[68]  J. Wadenbäck,et al.  Cosmix-plexing: a novel recombinatorial approach for evolutionary selection from combinatorial libraries. , 2001, Journal of biotechnology.

[69]  Vidya B. Manian,et al.  Comparison of feature selection alogorithms for texture image classification , 2001, SPIE Defense + Commercial Sensing.

[70]  Sandip Sen,et al.  Simulated annealing based classification , 1994, Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94.

[71]  Michael G. Parsons,et al.  Complete design of fuzzy systems using a real-coded genetic algorithm with imbedded constraints , 2001, J. Intell. Fuzzy Syst..

[72]  Yash P. Gupta,et al.  Minimizing flow time variance in a single machine system using genetic algorithms , 1993 .

[73]  L. Darrell Whitley,et al.  Predicting Epistasis from Mathematical Models , 1999, Evolutionary Computation.

[74]  Lalit M. Patnaik,et al.  A genetic algorithm-based circuit partitioner for MCMs , 1995, Microprocess. Microprogramming.

[75]  Peter F. Stadler,et al.  Amplitude Spectra of Fitness Landscapes , 1998, Adv. Complex Syst..

[76]  Mauro Annunziato,et al.  Evolving Feed-forward Neural Networks Through Evolutionary Mutation Parameters , 2006, IDEAL.

[77]  Filippo Neri,et al.  An Analysis of the Universal Suffrage Selection Operator , 1996, Evolutionary Computation.

[78]  Garrison W. Greenwood,et al.  Fitness Functions for Multiple Objective Optimization Problems: Combining Preferences with Pareto Rankings , 1996, FOGA.

[79]  Hans-Georg Beyer,et al.  Toward a Theory of Evolution Strategies: Self-Adaptation , 1995, Evolutionary Computation.

[80]  B. Julstrom It's all the same to me: revisiting rank-based probabilities and tournaments , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[81]  Uday K. Chakraborty,et al.  Branching process analysis of linear ranking and binary tournament selection in genetic algorithms , 1999 .

[82]  R. Jozsa,et al.  Quantum Computation and Shor's Factoring Algorithm , 1996 .

[83]  Jim Smith,et al.  Replacement Strategies in Steady State Genetic Algorithms: Static Environments , 1998, FOGA.

[84]  Wang Jiaying Applying genetic algorithms for finding best coding of self coding rod position detection , 1998 .

[85]  Kingkarn Sookhanaphibarn,et al.  Genetic micro-rollback self-recovery synthesis , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[86]  David John Nettleton,et al.  Evolutionary algorithms in artificial intelligence : a comparative study through applications , 1994 .

[87]  Joanna Lis,et al.  The Synthesis of the Ranked Neural Networks Applying Genetic Algorithm with the Dynamic Probability of Mutation , 1995, IWANN.

[88]  Ryszard S. Michalski,et al.  Comparing learning paradigms via diagrammatic visualization: a case study in single concept learning using symbolic, neural net and genetic algorithm methods , 1991 .

[89]  Pablo Moscato,et al.  A memetic algorithm for the total tardiness single machine scheduling problem , 2001, Eur. J. Oper. Res..

[90]  Nikolaus Hansen,et al.  Step-Size Adaption Based on Non-Local Use of Selection Information , 1994, PPSN.

[91]  Peter F. Stadler,et al.  Error Thresholds on Correlated Fitness Landscapes , 1993 .

[92]  Xin Yao,et al.  Progress in Evolutionary Computation , 1995, Lecture Notes in Computer Science.

[93]  Manfred Eigen,et al.  Optimization by hierarchical mutant production , 1993, Biological Cybernetics.

[94]  Lance A. Abbott Comparison of a constraint directed search to a genetic algorithm in a scheduling application , 1994, IEA/AIE '94.

[95]  Conor Ryan,et al.  Sensible Initialisation in Chorus , 2003, EuroGP.

[96]  L. Darrell Whitley,et al.  Ruffled by Ridges: How Evolutionary Algorithms Can Fail , 2004, GECCO.

[97]  Günter Rudolph,et al.  Takeover Times and Probabilities of Non-Generational Selection Rules , 2000, GECCO.

[98]  Lakhmi C. Jain,et al.  On the effect of multi-parents recombination in binary coded genetic algorithms , 1998, 1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111).

[99]  H. Maini Incorporation of knowledge in genetic recombination , 1994 .

[100]  Yee Leung,et al.  Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis , 1997, IEEE Trans. Neural Networks.

[101]  R. K. Ursem Multinational evolutionary algorithms , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[102]  Leonardo Vanneschi,et al.  Fitness Distance Correlation in Structural Mutation Genetic Programming , 2003, EuroGP.

[103]  Konstantina S. Nikita,et al.  Automatic retinal image registration scheme using global optimization techniques , 1999, IEEE Transactions on Information Technology in Biomedicine.

[104]  Nobuyoshi Tosaka,et al.  Optimum Design of Truss Structure by Genetic Algorithm with Variable Mutation Ratio. , 1995 .

[105]  Joseph C. Culberson Crossover versus Mutation: Fueling the Debate: TGA versus GIGA , 1993, ICGA.

[106]  Robert E. Smith,et al.  Fitness inheritance in genetic algorithms , 1995, SAC '95.

[107]  J. J. Collins,et al.  A Global Representation Scheme for Genetic Algorithms , 1997, Fuzzy Days.

[108]  T. Riechmann Genetic algorithm learning and evolutionary games , 2001 .

[109]  Philippe Collard,et al.  Maximum Homologous Crossover for Linear Genetic Programming , 2003, EuroGP.

[110]  B. Naudts,et al.  SAWing on symmetry , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[111]  David R. Jefferson,et al.  Selection in Massively Parallel Genetic Algorithms , 1991, ICGA.

[112]  D. Sadot,et al.  A new method for developing optical CDMA address code sequences using the genetic algorithm , 1998, ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).

[113]  Nicholas J. Radcliffe,et al.  Equivalence Class Analysis of Genetic Algorithms , 1991, Complex Syst..

[114]  Shu-Heng Chen,et al.  Using Genetic Algorithms to Simulate the Evolution of an Oligopoly Game , 1998, SEAL.

[115]  Rudolf Freund,et al.  DNA Computing Based on Splicing: The Existence of Universal Computers , 1999, Theory of Computing Systems.

[116]  Kihong Park,et al.  On the effectiveness of genetic search in combinatorial optimization , 1995, SAC '95.

[117]  H. K. Birru Empirical study of two classes of bit variation operators in evolutionary computation , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[118]  L.E. Aguado-Bayon,et al.  Reducing the complexity of trellises for block codes , 1995, Proceedings of 1995 IEEE International Symposium on Information Theory.

[119]  Peter Ross,et al.  Comparing Genetic Algorithms, Simulated Annealing, and Stochastic Hillclimbing on Timetabling Problems , 1995, Evolutionary Computing, AISB Workshop.

[120]  Marcus Hutter,et al.  Fitness uniform selection to preserve genetic diversity , 2001, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[121]  Wojciech Paszkowicz,et al.  Properties of a genetic algorithm extended by a random self-learning operator and asymmetric mutations: A convergence study for a task of powder-pattern indexing , 2006 .

[122]  X. Yao,et al.  Combining landscape approximation and local search in global optimization , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[123]  H. Muhlenbein,et al.  The Factorized Distribution Algorithm for additively decomposed functions , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[124]  Gary Cziko,et al.  Without Miracles: Universal Selection Theory and the Second Darwinian Revolution , 1995 .

[125]  Gary J. Koehler,et al.  A Markov chain analysis of genetic algorithms with power of 2 cardinality alphabets , 1997 .

[126]  Isaac K. Evans,et al.  Enhancing recombination with the Complementary Surrogate Genetic Algorithm , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

[127]  Ii Lawrence John Schmitt An empirical computational study of genetic algorithms to solve order based problems: an emphasis on TSP and VRPTC , 1994 .

[128]  Gunar E. Liepins,et al.  Punctuated Equilibria in Genetic Search , 1991, Complex Syst..

[129]  Yu Hen Hu,et al.  Convergence analyses of simulated evolution algorithms , 1994, Proceedings of 4th Great Lakes Symposium on VLSI.

[130]  Jeff Finckenor Genetic Algorithms, With Inheritance, VersusGradient Optimizers, And GA/Gradient Hybrids , 1970 .

[131]  T. Hachino,et al.  A control design of robotics using the genetic algorithm , 2006, Artificial Life and Robotics.

[132]  James P. Crutchfield,et al.  Statistical Dynamics of the Royal Road Genetic Algorithm , 1999, Theor. Comput. Sci..

[133]  Makoto Ohki,et al.  Fuzzy Modeling Using Genetic Algorithm with Adaptive Mutation Operator , 1999 .

[134]  Julian Francis Miller,et al.  Scalability problems of digital circuit evolution evolvability and efficient designs , 2000, Proceedings. The Second NASA/DoD Workshop on Evolvable Hardware.

[135]  Dexiang Xu Optimization of FIR Digital Filters Using a Real Parameter Parallel Genetic Algorithm and Implementations. , 1994 .

[136]  David B. Fogel,et al.  Two new mutation operators for enhanced search and optimization in evolutionary programming , 1997, Optics & Photonics.

[137]  Luisa Franconi,et al.  Comparison of a genetic algorithm and simulated annealing in an application to statistical image reconstruction , 1997, Stat. Comput..

[138]  Zhiwei Fu Dimensionality optimization by heuristic greedy learning vs. genetic algorithms in knowledge discovery and data mining , 1999, Intell. Data Anal..

[139]  D. C. Zimmerman,et al.  The effect of coding on genetic algorithm based structural damage detection , 1998 .

[140]  Kihong Park,et al.  Scalability problems of genetic search , 1994, Proceedings of IEEE International Conference on Systems, Man and Cybernetics.

[141]  Goldberg,et al.  Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.

[142]  R. Poli,et al.  Evolving neural networks using a dual representation with a combined crossover operator , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[143]  H. Beyer Simulation of Steady States in Dissipative Systems by Darwin’s Paradigm of Evolution , 1990 .

[144]  Filippo Neri,et al.  Formal Models of Selection in Genetic Algorithms , 1994, ISMIS.

[145]  H. Waelbroeck,et al.  Effective degrees of freedom in genetic algorithms , 1998 .

[146]  Günter Rudolph,et al.  Self-adaptation and global convergence: a counter-example , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[147]  Du Xiuxia,et al.  AGC parameters optimization using real coded genetic algorithm , 2002, Proceedings. International Conference on Power System Technology.

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[150]  William B. Langdon Long Random Linear Programs Do Not Generalize , 2004, Genetic Programming and Evolvable Machines.

[151]  Hajime Kita,et al.  A Real-Coded Genetic Algorithm using Distance Dependent Alternation Model for Complex Function Optimization , 2000, GECCO.

[152]  Agostinho C. Rosa,et al.  Towards automatic image enhancement using genetic algorithms , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

[153]  Andrew Lim,et al.  Sexual Selection for Genetic Algorithms , 2003, Artificial Intelligence Review.

[154]  Stefan Bornholdt Probing Genetic Algorithm Performance of Fitness Landscapes , 1996, FOGA.

[155]  Annie S. Wu,et al.  The Proportional Genetic Algorithm: Gene Expression in a Genetic Algorithm , 2002, Genetic Programming and Evolvable Machines.

[156]  Patrick D. Surry,et al.  Formal Memetic Algorithms , 1994, Evolutionary Computing, AISB Workshop.

[157]  Bakir Lacevic,et al.  Great selection pressure genetic algorithm with adaptive operators for adjusting the weights of neural controller , 2005, 2005 International Symposium on Computational Intelligence in Robotics and Automation.

[158]  Wolfgang Banzhaf,et al.  More on Computational Effort Statistics for Genetic Programming , 2003, EuroGP.

[159]  Kenneth A. De Jong,et al.  Analyzing GAs Using Markov Models with Semantically Ordered and Lumped States , 1996, FOGA.

[160]  F. Rhee,et al.  Unsupervised feature selection using a fuzzy-genetic algorithm , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

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[163]  Bruce J. Berne,et al.  Quantum path minimization: An efficient method for global optimization , 2003 .

[164]  Steven O. Kimbrough,et al.  Bargaining by artificial agents in two coalition games: a study in genetic programming for electronic commerce , 1996 .

[165]  Yoshiki Uchikawa,et al.  The effects of combination of DNA coding method with Pseudo-Bacterial GA , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

[166]  John S. Gero,et al.  Learning Representations for Evolutionary Computation , 2007 .

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[168]  Hod Lipson,et al.  Finding Building Blocks through Eigenstructure Adaptation , 2003, GECCO.

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[198]  B. Julstrom,et al.  Design of vector quantization codebooks using a genetic algorithm , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

[199]  Takumi Ichimura,et al.  Learning of neural networks with parallel hybrid GA using a royal road function , 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

[200]  Cheol Hoon Park,et al.  An empirical comparison of simulated annealing and genetic algorithms on NK fitness landscapes , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

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[203]  Rebecca Parsons Evolution of cooperating and competing individuals in a dynamic fitness environment , 1999, Defense, Security, and Sensing.

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[207]  H. Terashima-Marín,et al.  Clique-based crossover for solving the timetabling problem with GAs , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

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[212]  Romuald Jagielski Genetic Programming with Controlled Crossover , 1997, ICONIP.

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