科研之友
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摘要
Genetic algorithm (GA) is effective for global optimizations, but needs the user to de. ne several parameters. Unless these parameters are defined appropriately, search efficiency drops significantly. There are, however, no clear rules for the de. ning, and almost all users have considerable difficulty to use GA efficiently. A good algorithm must be use-friendly. It should not, if possible, need the user to de. ne such parameters and can play high performance for any optimization problem. This paper proposes an autonomous GA addressing these problems.
- 出版日期2007
