.png){kind=icon}
返回
Flower pollination algorithm: a comprehensive review
.png){kind=icon}
PRE
AI
DOI：10.1007/s10462-018-9624-4.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Flower pollination algorithm (FPA) is a computational intelligence metaheuristic that takes its metaphor from flowers proliferation role in plants. This paper provides a comprehensive review of all issues related to FPA: biological inspiration, fundamentals, previous studies and comparisons, implementation, variants, hybrids, and applications. Besides, it makes a comparison between FPA and six different metaheuristics such as genetic algorithm, cuckoo search, grasshopper optimization algorithm, and others on solving a constrained engineering optimization problem. The experimental results are statistically analyzed with non-parametric Friedman test which indicates that FPA is superior more than other competitors in solving the given problem.
Keyword:
Flower pollination algorithm
Metaheuristic
Cuckoo search
Genetic algorithm
Optimization
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
13.9
论文数:
6.1K
被引数:
1.9W
机构
引用论文
分享收藏A new global maximum power point tracking technique for solar photovoltaic (PV) system under partial shading conditions (PSC)一种新的局部遮阳条件下太阳能光伏系统全局最大功率点跟踪技术.png)
ENERGY
ENERGYIF9.4
PREAI
分享收藏Implementation of flower pollination algorithm for solving economic load dispatch and combined economic emission dispatch problems in power systemsENERGY
ENERGYIF9.4
PREAI
分享收藏Optimization of emission/economic dispatch using euclidean affine flower pollination algorithm (eFPA) and binary FPA (BFPA) in solar photo voltaic generation太阳能光伏发电中使用欧几里得仿射花授粉算法 (eFPA) 和二进制FPA (BFPA) 的排放/经济调度优化RENEWABLE ENERGY
RENEWABLE ENERGYIF9.1
PREAI
分享收藏
查看更多内容