洪水算法:一种用于优化问题的新型元启发式算法
Ramazan Ozkan1,2, Ruya Samli2
1Department of Computer Engineering, National Defence University, Istanbul, Turkey.
PeerJ. Computer science
|December 9, 2024
概括
一个新的洪水算法 (FA) 优化了复杂的问题. 这种以水流为灵感的元启发式方法,在基准和现实任务上表现出与现有方法相比具有竞争力的准确性和速度.
科学领域:
- 计算智能是一种计算智能.
- 优化算法 优化算法
- 超启发式计算 超启发式计算
背景情况:
- 超启发式算法对于有效解决复杂的优化问题至关重要.
- 算法性能因问题类型而异,需要新的方法.
- 现有的方法需要不断的开发和验证.
研究的目的:
- 介绍一个新的元启发算法,洪水算法 (FA).
- 为了评估FA在基准功能和实践考试座位计划问题上的有效性.
- 为了比较FA的性能与已建立的元启发算法.
主要方法:
- 基于自然洪水水动态的洪水算法 (FA) 的开发.
- 在标准优化基准函数上测试FA.
- 用FA应用于真实世界的考试座位安排问题.
- 与其他领先的元启发算法对FA进行比较分析.
主要成果:
- 洪水算法 (FA) 显示出具有竞争力的性能.
- FA实现了与现有算法相比较的解决方案准确性.
- FA表现出高效的处理时间,与其他方法相似.
结论:
- 拟议的洪水算法 (FA) 是一个可行的优化元启发术.
- 对于复杂的问题解决,FA提供了一个有前途的替代方案.
- 进一步的研究可以探索FA在各种优化领域的应用.
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