Turbo code interleaver optimization and linear ordering problem are two NP-hard optimization problems attractive for their complexity and variety of real world applications. In this paper, we investigate the usage and performance of recent variant of genetic algorithms - higher level chromosome genetic algorithms - on the turbo code optimization task and linear ordering problem. Both problems as well as higher level chromosome genetic algorithms are introduced and experiments applying GA. © 2008 IEEE.
Genetic Algorithms Searching For Turbo Code Interleaver And Solving Linear Ordering Problem
摘要:
DOI:
10.1109/CISIM.2008.32
关键词:
Algorithms; Applications; Chromosomes; Codes (symbols); Computer networks; Genetic algorithms; Industrial engineering; Industrial management; Information management; Information science; Information systems; Nuclear propulsion; Optimization; Project management; Set theory; Linear orderings; Problem solving;
年份:
2008
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