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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Adaptive dimensional search ： ウィキペディア英語版 Adaptive dimensional search Adaptive dimensional search algorithms differ from nature-inspired metaheuristic techniques in the sense that they do not use any metaphor as an underlying principle for implementation. Rather, they utilize a simple, performance-oriented methodology based on the update of the search dimensionality ratio (SDR) parameter at each iteration.〔Hasançebi, O., Kazemzadeh Azad, S. (2015), Adaptive Dimensional Search: A New Metaheuristic Algorithm for Discrete Truss Sizing Optimization, Computers and Structures, 154, 1-16.〕 Many robust metaheuristic techniques, such as simulated annealing, evolutionary algorithms, particle swarm optimization, and ant colony optimization, have been introduced by researchers in the last few decades through clearly identifying and formulating similarities between algorithms and the processes they are modeled on. However, over time this trend of developing new search methods has made researchers feel obligated to associate their innovative ideas with some natural event to provide a basis for justification of their thoughts and the originality of their algorithms. As a result, literature has abounded with metaheuristic algorithms that have weak or no similarities to the natural processes which they are purported to derive from. ==References== 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Adaptive dimensional search」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.