Shuffled frog leaping-tabu search algorithm with grouping genetic algorithm operators appplied on cutting stock problem (CSP)

This study was done to solve the one-dimensional variant of CSP with single stock length and without contiguity. The shuffled frog leaping algorithm (SFLA) was applied to CSP but was modified by embedding the tabu search (TS) in the SFLA's local search. The grouping genetic algorithm (GGA) op...

詳細記述

書誌詳細
第一著者: Ebero, Ria Theresa Magnaye
フォーマット: 学位論文
言語:English
出版事項: 2011
主題: