Context-Dependent DNA Coding With Redundancy and Introns
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[1] Kalyanmoy Deb,et al. Ordering Genetic Algorithms and Deception , 1992, PPSN.
[2] Nichael Lynn Cramer,et al. A Representation for the Adaptive Generation of Simple Sequential Programs , 1985, ICGA.
[3] Colin R. Reeves,et al. Epistasis in Genetic Algorithms: An Experimental Design Perspective , 1995, ICGA.
[4] A. Townsend. Genetic Algorithms – a Tutorial , 2003 .
[5] Annie S. Wu,et al. Empirical Studies of the Genetic Algorithm with Noncoding Segments , 1995, Evolutionary Computation.
[6] Melanie Mitchell,et al. Relative Building-Block Fitness and the Building Block Hypothesis , 1992, FOGA.
[7] Peter J. Angeline,et al. Genetic programming and emergent intelligence , 1994 .
[8] Zbigniew Michalewicz,et al. Genetic Algorithms + Data Structures = Evolution Programs , 1992, Artificial Intelligence.
[9] Randy L. Haupt,et al. Practical Genetic Algorithms , 1998 .
[10] Rajarshi Das,et al. A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function Optimization , 1989, ICGA.
[11] Yongsheng Ding,et al. DNA genetic algorithms for design of fuzzy systems , 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).
[12] Lakhmi C. Jain. Evolution of engineering and information systems and their applications , 1999 .
[13] Xiao Peng,et al. Fuzzy behavior-based control of mobile robots , 2004, IEEE Transactions on Fuzzy Systems.
[14] James R. Levenick. Inserting Introns Improves Genetic Algorithm Success Rate: Taking a Cue from Biology , 1991, ICGA.
[15] R. Salomon. Re-evaluating genetic algorithm performance under coordinate rotation of benchmark functions. A survey of some theoretical and practical aspects of genetic algorithms. , 1996, Bio Systems.
[16] Takeshi Furuhashi,et al. Development of if-then rules with the use of DNA coding , 1997 .
[17] Yongsheng Ding,et al. Parameter optimization for a class of general TS fuzzy controllers via a new DNA-based genetic algorithm , 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).
[18] Gilbert Syswerda,et al. Uniform Crossover in Genetic Algorithms , 1989, ICGA.
[19] Thomas Bäck,et al. Evolution Strategies for Mixed-Integer Optimization of Optical Multilayer Systems , 1995, Evolutionary Programming.
[20] Heinz Mühlenbein,et al. Evolution in Time and Space - The Parallel Genetic Algorithm , 1990, FOGA.
[21] A. I.,et al. Neural Field Continuum Limits and the Structure–Function Partitioning of Cognitive–Emotional Brain Networks , 2023, Biology.
[22] Lawrence Davis,et al. Applying Adaptive Algorithms to Epistatic Domains , 1985, IJCAI.
[23] Kwee-Bo Sim,et al. Evolutionary neural networks for time series prediction based on L-system and DNA coding method , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).
[24] Yuval Davidor,et al. Epistasis Variance: A Viewpoint on GA-Hardness , 1990, FOGA.
[25] Nostrand Reinhold,et al. the utility of using the genetic algorithm approach on the problem of Davis, L. (1991), Handbook of Genetic Algorithms. Van Nostrand Reinhold, New York. , 1991 .
[26] Ralph R. Martin,et al. Reducing Epistasis in Combinatorial Problems by Expansive Coding , 1993, ICGA.
[27] Robert G. Reynolds,et al. Evolution Strategies for Mixed-Integer Optimization of Optical Multilayer Systems , 1995 .
[28] Lashon B. Booker,et al. Proceedings of the fourth international conference on Genetic algorithms , 1991 .
[29] L. Duret,et al. Why do genes have introns? Recombination might add a new piece to the puzzle. , 2001, Trends in genetics : TIG.
[30] David E. Goldberg,et al. Alleles, loci and the traveling salesman problem , 1985 .
[31] G. Syswerda,et al. Schedule Optimization Using Genetic Algorithms , 1991 .
[32] James E. Baker,et al. Reducing Bias and Inefficienry in the Selection Algorithm , 1987, ICGA.