Статьи и Технические Отчеты из Сети: [ G ]

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  1. Gathercole, Ross "Dynamic Training Subset Selection for Supervised Learning in Genetic Programming"
  2. Gent, Walsh "Easy Problems are Sometimes Hard"
  3. Gent, Walsh "The Satisfiability Constraint Gap"
  4. George "Hybrid Genetic Algorithms with Immunisation to Optimise Networks of Car Dealerships"
  5. Giordana,Neri, Saitta "Search-Intensive Concept Induction" - {note}
  6. Giordana,Neri, Saitta "Formal Models of Selection in Genetic Algorithm"
  7. Godart,Desideri,Mantel, Periaux "A Genetic Algorithm Compared with a Gradient-Based Method for the Solution of an Active-Control Model Problem "
  8. Goldberg "Construction of high order deceptive functions from low-oorder Walsh cooefficents"
  9. Goldberg "Toward a mechanics of conceptual machines"
  10. Goldberg "Real-coded genetic algorithms,vitual alphabets, and blocking"
  11. Goldberg "First flight at genetic algorithm Kitty Hawk"
  12. Goldberg "The existential pleasures of genetic algorithms"
  13. Goldberg,Kargupta,Horn, Cantu-Paz "Critical deme size for serial and parallel genetic algorithms"
  14. Goldberg, Rudnick "Genetic Algorithms and the variance of fitness"
  15. Goldberg,Horn, Deb "What makes a problem hard for a classifier system?"
  16. Goldberg,Deb, Horn "Massive multimodality, deception, and genetic algorithms"
  17. Goldberg,Deb,Kargupta, Harik "Rapid, accurate optimization of difficult problems using fast, messy genetic algorithms"
  18. Goldberg,Thierns, Deb "Toward a better understanding of mixing in genetic algorithms"
  19. Goldberg,Deb, Clark "Genetic algorithms, noise, and the sizing of populations"
  20. Goldberg,Milman, Tidd "Genetic algorithms: a bibliography"
  21. Goldberg,Zakrzewski, Chang "Genetic Algorithms: A Bibliography"
  22. Goodman "An Introduction to GALOPPS -- The "Genetic ALgorithm Optimized for Portability and Parallelism"System" (Release 2.35)
  23. Goodman "An Introduction to GALOPPS -- The "Genetic ALgorithm Optimized for Portability and Parallelism"System" (Release 3.01)
  24. Goodman,Tetelbaum, Kureichik "A Genetic Algorithm Approach to Compaction, Bin Packing and Nesting Problems"
  25. Gordon, Subramanian "A Multistrategy Learning Scheme for Assimilating Advice in Embedded Agents"
  26. Gordon, Subramanian "A Multistrategy Learning Scheme for Agent Knowledge Acquisition"
  27. Gordon,Wim Bohm, Whitley "A Note on the Performance of Genetic Algorithms on Zero-One Knapsack Problems"
  28. Gordon, Whitley "Serial and parallel genetic algorithms as function optimizers"
  29. Grefenstette "The evolution of strategies for multi-agent environments"
  30. Grefenstette "Introduction: Special Track On Genetic Algorithms"
  31. Grefenstette "Robot learning with parallel genetic algorithms on networked computers"
  32. Grefenstette "Genetic algorithms for changing environments"
  33. Grefenstette "Lamarckian learning in multi-agent environments"
  34. Grefenstette "Predictive models using fitness distributions of genetic operators"
  35. Grefenstette "Deception considered harmful"
  36. Grefenstette "Conditions for implicit parallelism"
  37. Grefenstette "Evolutionary algorithms in robotics"
  38. Grefenstette "Predicting the behavior of genetic algorithms"
  39. Grefenstette "Introduction to the special track on genetic algorithms"
  40. Grefenstette "Genetic algorithms and machine learning"
  41. Grefenstette "Learning decision strategies with genetic algorithms"
  42. Grefenstette "Virtual genetic algorithms: First results"
  43. Grefenstette, Schultz "An Evolutionary Approach to Learning in Robots"
  44. Grefenstette,De Jong, Spears "Competition-Based Learning"
  45. Grefenstette, Ramsey "Combining Experience with Quantitative Models"
  46. Grefenstette,Ramsey, Schultz "Learning sequential decision rules using simulation models and competition"
  47. Gutowitz "Cellular Automata and the Sciences of Complexity" {part 1}{part 2}