Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...
Abstract: The shuffled frog leaping algorithm is easily sunk into local optimum and not enough accurate when optimizing the problem of some higher dimensional functions. In view of these shortcomings, ...
この記事は データ構造とアルゴリズム Advent Calendar 2019 6日目の記事です。 こんにちは、こんばんは。kaneshinです。現在は株式会社エウレカでCTOをしてエンジニアリングをメインに仕事をしていますが、学生の頃は最適化理論における非線形計画法を研究して ...
Abstract: In consideration of the fact that bat algorithm (BA) is sensitive to the initial values and simplex algorithm (SA) could often easily fall into local optimal, simplex-bat algorithm is put ...
2- Add infeasibility check while solving. 3- Implement proper memory de-allocation. 4- Might as well substitute .txt data input with .csv data instead. Maybe even work on better data parsing since it ...
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