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[1] David E. Goldberg,et al. The Design of Innovation: Lessons from and for Competent Genetic Algorithms , 2002 .
[2] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[3] Petr Posík. Estimation of Distribution Algorithms , 2006 .
[4] Kumara Sastry,et al. Efficient Atomic Cluster Optimization Using A Hybrid Extended Compact Genetic Algorithm With Seeded , 2001 .
[5] David E. Goldberg,et al. Nonstationary Function Optimization Using Genetic Algorithms with Dominance and Diploidy , 1987, ICGA.
[6] Dipankar Dasgupta,et al. Nonstationary Function Optimization using the Structured Genetic Algorithm , 1992, PPSN.
[7] G. Harik. Linkage Learning via Probabilistic Modeling in the ECGA , 1999 .
[8] David E. Goldberg,et al. Modified Linkage Learning Genetic Algorithm For Difficult Non-stationary Problems , 2002, GECCO.
[9] Jürgen Branke,et al. Evolutionary Optimization in Dynamic Environments , 2001, Genetic Algorithms and Evolutionary Computation.
[10] David E. Goldberg,et al. Learning Linkage , 1996, FOGA.
[11] Jorma Rissanen,et al. Fisher information and stochastic complexity , 1996, IEEE Trans. Inf. Theory.
[12] Dirk Thierens,et al. Linkage Information Processing In Distribution Estimation Algorithms , 1999, GECCO.
[13] David E. Goldberg,et al. From Twomax To The Ising Model: Easy And Hard Symmetrical Problems , 2002, GECCO.
[14] Schloss Birlinghoven,et al. How Genetic Algorithms Really Work I.mutation and Hillclimbing , 2022 .
[15] H. Mühlenbein,et al. From Recombination of Genes to the Estimation of Distributions I. Binary Parameters , 1996, PPSN.
[16] J. Rissanen,et al. Modeling By Shortest Data Description* , 1978, Autom..
[17] David E. Goldberg,et al. The Race, the Hurdle, and the Sweet Spot , 1998 .
[18] M. Pelikán,et al. The Bivariate Marginal Distribution Algorithm , 1999 .
[19] David E. Goldberg,et al. Designing a competent simple genetic algorithm for search and optimization , 2000 .
[20] Christian Bierwirth,et al. Production Scheduling and Rescheduling with Genetic Algorithms , 1999, Evolutionary Computation.
[21] Kalyanmoy Deb,et al. RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms , 1993, ICGA.
[22] Dirk Thierens,et al. On the Design and Analysis of Competent Selecto-recombinative GAs , 2004, Evolutionary Computation.
[23] Erik D. Goodman,et al. A Genetic Algorithm Approach to Dynamic Job Shop Scheduling Problem , 1997, ICGA.
[24] David E. Goldberg,et al. Bayesian optimization algorithm: from single level to hierarchy , 2002 .
[25] W. Punch,et al. A Genetic Algorithm Approach to Dynamic Job Shop Scheduling Problems , 1997 .
[26] Ingo Rechenberg,et al. Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution , 1973 .
[27] David E. Goldberg,et al. A Survey of Optimization by Building and Using Probabilistic Models , 2002, Comput. Optim. Appl..
[28] Kalyanmoy Deb,et al. Genetic Algorithms, Noise, and the Sizing of Populations , 1992, Complex Syst..
[29] Shumeet Baluja,et al. A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning , 1994 .
[30] Terence C. Fogarty,et al. Learning the local search range for genetic optimisation in nonstationary environments , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).
[31] David E. Goldberg,et al. Linkage Identification by Non-monotonicity Detection for Overlapping Functions , 1999, Evolutionary Computation.
[32] Kalyanmoy Deb,et al. Analyzing Deception in Trap Functions , 1992, FOGA.
[33] David E. Goldberg,et al. The compact genetic algorithm , 1999, IEEE Trans. Evol. Comput..
[34] Philippe Collard,et al. An evolutionary approach for time dependant optimization , 1996, Proceedings Eighth IEEE International Conference on Tools with Artificial Intelligence.
[35] Ying-ping Chen,et al. Extending the Scalability of Linkage Learning Genetic Algorithms: Theory and Practice , 2004 .
[36] Mark Wineberg,et al. Enhancing the GA's Ability to Cope with Dynamic Environments , 2000, GECCO.
[37] D. Ackley. A connectionist machine for genetic hillclimbing , 1987 .
[38] B. Minsker,et al. Cost‐effective long‐term groundwater monitoring design using a genetic algorithm and global mass interpolation , 2000 .
[39] S. Tsutsui,et al. Function optimization in nonstationary environment using steady state genetic algorithms with aging of individuals , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).
[40] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[41] Fernando G. Lobo,et al. A Survey of Optimization by Building and Using Probabilistic Models , 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).
[42] Jorma Rissanen,et al. Stochastic Complexity in Statistical Inquiry , 1989, World Scientific Series in Computer Science.
[43] Heinz Mühlenbein,et al. Predictive Models for the Breeder Genetic Algorithm I. Continuous Parameter Optimization , 1993, Evolutionary Computation.
[44] Kalyanmoy Deb,et al. Messy Genetic Algorithms: Motivation, Analysis, and First Results , 1989, Complex Syst..
[45] John J. Grefenstette,et al. Genetic Algorithms for Changing Environments , 1992, PPSN.
[46] Alden H. Wright,et al. Efficient Linkage Discovery by Limited Probing , 2003, Evolutionary Computation.
[47] D. Dasgupta. Incorporating Redundancy and Gene Activation Mechanisms in Genetic search for adapting to Non-Stationarv Environments. , 2019, Practical Handbook of Genetic Algorithms.
[48] D. Goldberg,et al. Building block superiority, multimodality and synchronization problems , 2001 .
[49] Hillol Kargupta,et al. The Gene Expression Messy Genetic Algorithm , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.
[50] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[51] Hajime Kita,et al. Adaptation to Changing Environments by Means of the Memory Based Thermodynamical Genetic Algorithm , 1997, ICGA.
[52] David E. Goldberg,et al. Introducing Start Expression Genes to the Linkage Learning Genetic Algorithm , 2002, PPSN.
[53] David E. Goldberg,et al. Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm , 2003, GECCO.
[54] Dirk Thierens,et al. Mixing in Genetic Algorithms , 1993, ICGA.
[55] H. Kargupta. Search, polynomial complexity, and the fast messy genetic algorithm , 1996 .
[56] Christoph F. Eick,et al. Supporting Polyploidy in Genetic Algorithms Using Dominance Vectors , 1997, Evolutionary Programming.
[57] Robert G. Reynolds,et al. Evolutionary computation: Towards a new philosophy of machine intelligence , 1997 .
[58] 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 .
[59] Rasmus K. Ursem,et al. Multinational GAs: Multimodal Optimization Techniques in Dynamic Environments , 2000, GECCO.