Local search for parallel optimization algorithms for high diminsional optimization problems

被引：0
|
作者：
Abd-Alsabour, Nadia [1 ]
机构：
[1] Cairo Univ, Cairo, Egypt
来源：
22ND INTERNATIONAL CONFERENCE ON CIRCUITS, SYSTEMS, COMMUNICATIONS AND COMPUTERS (CSCC 2018) | 2018年 / 210卷
关键词：
local search; optimization algorithms; paralell algorithms; high dimensional subset problems; ANT COLONY OPTIMIZATION;
D O I：
10.1051/matecconf/201821004052
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Local search algorithms perform an important role when being employed with optimization algorithms tackling numerous optimization problems since they lead to getting better solutions. However, this is not practical in many applications as they do not contribute to the search process. This was not much studied previously for traditional optimization algorithms or for parallel optimization algorithms. This paper investigates this issue for parallel optimization algorithms when tackling high dimensional subset problems. The acquired results show impressive recommendations.
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页数：5
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