Hierarchical Parallel Processes of Genetic Algorithms for Design Optimization of Large-Scale Products
Keyword(s):
A large-scale machine system often has a general hierarchical structure. For hierarchical structures, optimization is difficult because many local optima almost always arise, however genetic algorithms that have a hierarchical genotype can be applied to treat such problems directly. Relations between the structural components are analyzed and this information is used to partition the hierarchical structure. Partitioning large-scale problems into sub-problems that can be solved using parallel processed GAs increases the efficiency of the optimization search. The optimization of large-scale systems then becomes possible due to information sharing of Pareto optimum solutions for the sub-problems.
1998 ◽
Vol 16
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pp. 59-70
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1979 ◽
Vol 12
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pp. 1293-1299
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2017 ◽
Vol 9
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pp. 168781401668335
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1973 ◽
Vol 1
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pp. 23-42
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