Tunably Rugged Landscapes with Known Maximum and Minimum.

IEEE Transactions on Evolutionary Computation(2016)

引用 13|浏览51
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摘要
We propose NM landscapes as a new class of tunably rugged benchmark problems. NM landscapes are well defined on alphabets of any arity, including both discrete and real-valued alphabets, include epistasis in a natural and transparent manner, are proven to have known value and location of the global maximum and, with some additional constraints, are proven to also have a known global minimum. Empir...
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关键词
Polynomials,Computational modeling,Correlation,Benchmark testing,Standards,Upper bound,Search problems
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