الگوریتم‌های ژنتیک و کاربردهای آن‌ها ۲۰۱۳
Genetic Algorithms and their Applications 2013

1. Front Cover

2. Title Page

3. Title Page

4. Copyright

5. Acknowledgement

6. Conference Program

7. Finite Markov chain analysis of genetic algorithms

8. An analysis of reproduction and crossover in a binary-coded genetic algorithm

9. Reducing bias and inefficiency in the selection algorithm

10. Altruism in the bucket brigade

11. Schema recombination in pattern recognition problems

12. An adaptive crossover distribution mechanism for genetic algorithms

13. Genetic algorithms with sharing for multimodal function optimization

14. The ARGOT strategy: adaptive representation genetic optimizer technique

15. Nonstationary function optimization using genetic algorithms with dominance and diploidy

16. Genetic operators for high-level knowledge representations

17. Tree structured rules in genetic algorithms

18. Genetic algorithms and classifier systems: foundations and future directions

19. Greedy genetics

20. Incorporating heuristic information into genetic search

21. Using reproductive evaluation to improve genetic search and heuristic discovery

22. Toward a unified thermodynamic genetic operator

23. Toward the evolution of symbols

24. SUPERGRAN: a connectionist approach to learning, integrating genetic algorithms and graph induction

25. Parallel implementation of genetic algorithms in a classifier system

26. Punctuated equilibria: a parallel genetic algorithm

27. A parallel genetic algorithm

28. Genetic learning procedures in distributed environments

29. Parallelisation of probabilistic sequential search algorithms

30. Parallel genetic algorithms for a hypercube

31. Bucket brigade performance: I. Long sequences of classifiers

32. Bucket brigade performance: II. Default hierarchies

33. Multilevel credit assignment in a genetic learning system

34. On using genetic algorithms to search program spaces

35. A genetic system for learning models of consumer choice

36. A study of permutation crossover operators on the traveling salesman problem

37. A classifier based system for discovering scheduling heuristics

38. Using the genetic algorithm to generate LISP source code to solve the prisoner’s dilemma

39. Optimal determination of user-oriented clusters: an application for the reproductive plan

40. The genetic algorithm and biological development

41. Genetic algorithms and communication link speed design: theoretical considerations

42. Genetic algorithms and communication link speed design: constraints and operators