Understanding and using genetic algorithms Part 2. Representation, configuration and hybridization
暂无分享,去创建一个
[1] Gerrit Kateman,et al. CFIT - A GENETIC ALGORITHM FOR SURVIVAL OF THE FITTING , 1993 .
[2] C. B. Lucasius,et al. Genetic algorithms in wavelength selection: a comparative study , 1994 .
[3] Hugh M. Cartwright,et al. Looking Around: Using Clues from the Data Space to Guide Genetic Algorithm Searches , 1991, ICGA.
[4] J. David Schaffer,et al. Representation and Hidden Bias: Gray vs. Binary Coding for Genetic Algorithms , 1988, ML.
[5] Gerrit Kateman,et al. Optimization of calibration data with the dynamic genetic algorithm , 1992 .
[6] Gerrit Kateman,et al. Gates Towards Evolutionary Large-scale Optimization: A Software-oriented Approach to Genetic Algorithms - II. Toolbox Description , 1994, Comput. Chem..
[7] B. R. Fox,et al. Genetic Operators for Sequencing Problems , 1990, FOGA.
[8] Lawrence Davis,et al. Applying Adaptive Algorithms to Epistatic Domains , 1985, IJCAI.
[9] L. Darrell Whitley,et al. Optimization Using Distributed Genetic Algorithms , 1990, PPSN.
[10] D. J. Smith,et al. A Study of Permutation Crossover Operators on the Traveling Salesman Problem , 1987, ICGA.
[11] Jack Sklansky,et al. A note on genetic algorithms for large-scale feature selection , 1989, Pattern Recognit. Lett..
[12] Kalyanmoy Deb,et al. Don't Worry, Be Messy , 1991, ICGA.
[13] Kalyanmoy Deb,et al. A Comparative Analysis of Selection Schemes Used in Genetic Algorithms , 1990, FOGA.
[14] Michael D. Vose,et al. Generalizing the Notion of Schema in Genetic Algorithms , 1991, Artif. Intell..
[15] C. B. Lucasius,et al. Towards genetic algorithm methodology in chemometrics , 1993 .
[16] C. B. Lucasius,et al. Genetic algorithms for large-scale optimization in chemometrics: An application , 1991 .
[17] David E. Goldberg,et al. Alleles, loci and the traveling salesman problem , 1985 .
[18] G. Syswerda,et al. Schedule Optimization Using Genetic Algorithms , 1991 .
[19] James E. Baker,et al. Reducing Bias and Inefficienry in the Selection Algorithm , 1987, ICGA.
[20] L. Darrell Whitley,et al. Remapping Hyperspace During Genetic Search: Canonical Delta Folding , 1992, FOGA.
[21] C. B. Lucasius,et al. Conformational analysis of a dinucleotide photodimer with the aid of the genetic algorithm , 1992, Biopolymers.
[22] Anne Brindle,et al. Genetic algorithms for function optimization , 1980 .
[23] Gerrit Kateman,et al. Conformational Analysis of DNA Using Genetic Algorithms , 1990, PPSN.
[24] Kenneth A. De Jong,et al. An Analysis of the Interacting Roles of Population Size and Crossover in Genetic Algorithms , 1990, PPSN.
[25] C. B. Lucasius,et al. Understanding and using genetic algorithms Part 1. Concepts, properties and context , 1993 .
[26] Kalyanmoy Deb,et al. Messy Genetic Algorithms: Motivation, Analysis, and First Results , 1989, Complex Syst..
[27] Rajarshi Das,et al. A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function Optimization , 1989, ICGA.
[28] GUNAR E. LIEPINS,et al. Representational issues in genetic optimization , 1990, J. Exp. Theor. Artif. Intell..
[29] Gerrit Kateman,et al. Towards Solving Subset Selection Problems with the Aid of the Genetic Algorithm , 1992, PPSN.
[30] John J. Grefenstette,et al. Optimization of Control Parameters for Genetic Algorithms , 1986, IEEE Transactions on Systems, Man, and Cybernetics.
[31] Reiko Tanese,et al. Distributed Genetic Algorithms , 1989, ICGA.
[32] Gregor von Laszewski,et al. Intelligent Structural Operators for the k-way Graph Partitioning Problem , 1991, ICGA.
[33] Larry J. Eshelman,et al. The CHC Adaptive Search Algorithm: How to Have Safe Search When Engaging in Nontraditional Genetic Recombination , 1990, FOGA.
[34] Gerrit Kateman,et al. Gates Towards Evolutionary Large-scale Optimization: A Software-oriented Approach to Genetic Algorithms - I. General Perspective , 1994, Comput. Chem..
[35] L. Darrell Whitley,et al. A Comparison of Genetic Sequencing Operators , 1991, ICGA.
[36] David E. Goldberg,et al. Finite Markov Chain Analysis of Genetic Algorithms , 1987, ICGA.
[37] Vijay V. Raghavan,et al. Genetic Algorithm for Clustering with an Ordered Representation , 1991, ICGA.
[38] Zbigniew Michalewicz,et al. Handling Constraints in Genetic Algorithms , 1991, ICGA.
[39] L. Darrell Whitley,et al. Delta Coding: An Iterative Search Strategy for Genetic Algorithms , 1991, ICGA.
[40] Kenneth Alan De Jong,et al. An analysis of the behavior of a class of genetic adaptive systems. , 1975 .
[41] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[42] John J. Grefenstette,et al. How Genetic Algorithms Work: A Critical Look at Implicit Parallelism , 1989, ICGA.
[43] C. B. Lucasius,et al. On k-medoid clustering of large data sets with the aid of a genetic algorithm: background, feasiblity and comparison , 1993 .
[44] Lawrence Davis,et al. Adapting Operator Probabilities in Genetic Algorithms , 1989, ICGA.
[45] Darrell Whitley,et al. Genitor: a different genetic algorithm , 1988 .
[46] Larry J. Eshelman,et al. Preventing Premature Convergence in Genetic Algorithms by Preventing Incest , 1991, ICGA.
[47] James E. Baker,et al. Adaptive Selection Methods for Genetic Algorithms , 1985, International Conference on Genetic Algorithms.
[48] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[49] J. Reed,et al. Simulation of biological evolution and machine learning. I. Selection of self-reproducing numeric patterns by data processing machines, effects of hereditary control, mutation type and crossing. , 1967, Journal of theoretical biology.
[50] Lawrence Davis,et al. Hybridizing the Genetic Algorithm and the K Nearest Neighbors Classification Algorithm , 1991, ICGA.
[51] Terence C. Fogarty,et al. Varying the Probability of Mutation in the Genetic Algorithm , 1989, ICGA.
[52] Allen Newell,et al. Heuristic programming: ill-structured problems , 1993 .
[53] Steffen Schulze-Kremer,et al. Genetic Algorithms for Protein Tertiary Structure Prediction , 1993, ECML.
[54] W. Spears,et al. On the Virtues of Parameterized Uniform Crossover , 1995 .
[55] J. E. Baker,et al. An analysis of the effects of selection in genetic algorithms , 1989 .
[56] William M. Spears,et al. Crossover or Mutation? , 1992, FOGA.
[57] L. Darrell Whitley,et al. GENITOR II: a distributed genetic algorithm , 1990, J. Exp. Theor. Artif. Intell..
[58] Donald R. Jones,et al. Solving Partitioning Problems with Genetic Algorithms , 1991, International Conference on Genetic Algorithms.
[59] Andrew Mcgilvary Gillies,et al. Machine Learning Procedures for Generating Image Domain Feature Detectors , 1985 .
[60] Larry J. Eshelman,et al. Biases in the Crossover Landscape , 1989, ICGA.
[61] L. Darrell Whitley,et al. The GENITOR Algorithm and Selection Pressure: Why Rank-Based Allocation of Reproductive Trials is Best , 1989, ICGA.
[62] Darrell Whitley,et al. The Travelling Salesman and Sequence Scheduling: Quality Solutions using Genetic Edge Recombination , 1990 .
[63] Gilbert Syswerda,et al. A Study of Reproduction in Generational and Steady State Genetic Algorithms , 1990, FOGA.
[64] Kalyanmoy Deb,et al. An Investigation of Niche and Species Formation in Genetic Function Optimization , 1989, ICGA.
[65] Gilbert Syswerda,et al. Uniform Crossover in Genetic Algorithms , 1989, ICGA.
[66] L. Darrell Whitley,et al. Scheduling Problems and Traveling Salesmen: The Genetic Edge Recombination Operator , 1989, International Conference on Genetic Algorithms.
[67] David E. Goldberg,et al. Genetic Algorithms with Sharing for Multimodalfunction Optimization , 1987, ICGA.