Parallelizing Ant Colony Optimization Via Area Of Expertise Learning
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Parallelizing Ant Colony Optimization Via Area Of Expertise Learning
Ant Colony Optimization Algorithms Have Long Been Touted As Providing An Effective And Efficient Means Of Generating High Quality Solutions To Np-hard Optimization Problems. Unfortunately, While The Structure Of The Algorithm Is Easy To Parallelize, The Nature And Amount Of Communication Required For Parallel Execution Has Meant That Parallel Implementations Developed Suffer From Decreased Solution Quality, Slower Runtime Performance, Or Both. This Thesis Explores A Strategy For Ant Colony Parallelization That Involves Area Of Expertise (aoe) Learning.
- 品牌: Creative Media Partners, LLC
- 类别: 计算机与互联网
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语言: English
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作者: Adrian A. De Freitas
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出版日期: 2025-06-13
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页数: 116
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出版社／标签: Creative Media Partners | LLC
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格式: Paperback
- Fruugo ID: 557022094-1125287557
- ISBN: 9781249578307
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