Access Point Planning for Disaster Scenario using Dragonfly Algorithm

Debnath, Sanjoy; Jee, Anand; Baishya, Srimanta; Arif, Wasim; Saikia, Priyam; Shoaib, Naafi

doi:10.1109/spin.2018.8474051

Cited by 5 publications

(1 citation statement)

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“…The dragonfly algorithm (DA) was used in the synthesis of concentric circular antenna arrays by Babayigit [9], and the EHO algorithm was used in support vector machine parameter tuning [10]. Lastly, Debnath et al [11] made an important study on access point planning for disaster scenarios by using the DA in 2018.…”

Section: Introductionmentioning

confidence: 99%

A Modified Dragonfly Optimization Algorithm for Single- and Multiobjective Problems Using Brownian Motion

Acı

Gülcan

2019

Computational Intelligence and Neuroscience

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The dragonfly algorithm (DA) is one of the optimization techniques developed in recent years. The random flying behavior of dragonflies in nature is modeled in the DA using the Levy flight mechanism (LFM). However, LFM has disadvantages such as the overflowing of the search area and interruption of random flights due to its big searching steps. In this study, an algorithm, known as the Brownian motion, is used to improve the randomization stage of the DA. The modified DA was applied to 15 single-objective and 6 multiobjective problems and then compared with the original algorithm. The modified DA provided up to 90% improvement compared to the original algorithm’s minimum point access. The modified algorithm was also applied to welded beam design, a well-known benchmark problem, and thus was able to calculate the optimum cost 20% lower.

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Section: Introductionmentioning

confidence: 99%