Abstract
We assess the performance of the GA on the weighted graph bi-partitioning problem which is an NP-complete problem. The assessment is done in two ways. First, the GA is compared with other search techniques and second, the fitness landscapes to be optimized are quantified in different ways and these data are related to the GA-performance.
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© 1994 Springer-Verlag Berlin Heidelberg
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Inayoshi, H., Manderick, B. (1994). The weighted graph bi-partitioning problem: A look at GA performance. In: Davidor, Y., Schwefel, HP., Männer, R. (eds) Parallel Problem Solving from Nature — PPSN III. PPSN 1994. Lecture Notes in Computer Science, vol 866. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58484-6_304
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DOI: https://doi.org/10.1007/3-540-58484-6_304
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