نتایج جستجو برای: firefly and invasive weed optimization

تعداد نتایج: 16913185  

Journal: :JCS 2015
Athraa Jasim Mohammed Yuhanis Yusof Husniza Husni

Corresponding Author: Athraa Jasim Mohammed School of Computing, Universiti Utara Malaysia, Kedah, Malaysia Email: [email protected] Abstract: Document clustering is widely used in Information Retrieval however, existing clustering techniques suffer from local optima problem in determining the k number of clusters. Various efforts have been put to address such drawback and this includes...

2004
Alice L. Miller Richard P. Duncan

Nearly one quarter of New Zealand’s unique vascular plant flora is threatened, and weed invasion is implicated in the decline of more than half of these threatened species. However, there is little experimental evidence showing that invasive weeds have a direct impact on threatened native plants. This study experimentally tested the hypothesis that competition with invasive weeds threatens the ...

2012
Tami L. Stubbs Ann C. Kennedy

Microbial weed control represents an innovative means to manage troublesome weeds and utilize the naturally occurring biological herbicides produced by soil microorganisms. These compounds kill or hinder the growth of weeds so that beneficial plant species can gain a competitive advantage. The vast diversity of microorganisms in our environment is largely untapped, and the potential discovery a...

2013
Tomohiro Hachino Hitoshi Takata Shigeru Nakayama Seiji Fukushima Yasutaka Igarashi

Firefly algorithm (FA) is an optimization technique inspired by an intelligent behavior of firefly swarms. This paper presents an application of FA to Gaussian process (GP)-based prediction of electric power damage caused by typhoons. The GP prior model for prediction is trained by a separable least-squares (LS) approach combining the linear LS method with FA. The proposed prediction system yie...

2017
Dongbao Guo Yu Lai Liming Zheng

As a new swarm intelligence optimization method, firefly algorithm shows good performance on many complex optimization problems. However, due to the fixed parameters of FA, it is difficult to adapt to environmental changing during the iteration process, and FA easily lose its diversity and lead to premature convergence. In this paper, an adaptive step firefly algorithm based on population diver...

2017
N. KAMATCHI D. SARAVANAN

In this paper presents the hybrid algorithm using firefly and a cuckoo search algorithm for flexible open shop scheduling problem. The flexible, open shop scheduling is known to be NP-hard. Cuckoo algorithm (CA) is one of the widely used techniques for constrained optimization. And it gave the best results compared to other algorithms. A disadvantage of cuckoo algorithm though is that they easi...

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