11 papers · ranked by Valyu relevance
Lina Zhang, Liqiang Liu, Xin-She Yang, Yuntao Dai + 1 more
Global optimization is challenging to solve due to its nonlinearity and multimodality. Traditional algorithms such as the gradient-based methods often struggle to deal with such problems and one of the current trends is to use metaheuristic algorithms. In this paper, a novel hybrid population-based global optimization…
Zhouquan Feng, Wenzan Wang, Jiren Zhang, Rafal Burdzik + 4 more
'Mahmoud Bayat' 'Wei Xu' 'Nizar Faisal Alkayem'] Structural model updating is one of the most important steps in structural health monitoring, which can achieve high-precision matching between finite element models and actual engineering structures. In this study, a Bayesian model updating method with modal flexibility…
Ngaam J. Cheung, Xue-Ming Ding, Hong-Bin Shen, Haipeng Peng
As a nature-inspired search algorithm, firefly algorithm (FA) has several control parameters, which may have great effects on its performance. In this study, we investigate the parameter selection and adaptation strategies in a modified firefly algorithm - adaptive firefly algorithm (AdaFa). There are three strategies…
Smail Bazi, Redha Benzid, Yakoub Bazi, Mohamd Mahmoud Al Rahhal + 1 more
'Andrey V. Savkin'] Firefly Algorithm (FA) is a recent swarm intelligence first introduced by X.S. Yang in 2008. It has been widely used to solve several optimization problems. Since then, many research works were elaborated presenting modified versions intending to improve performances of the standard one.…
Amarita Ritthipakdee, Arit Thammano, Nol Premasathian, Duangjai Jitkongchuen
'Duangjai Jitkongchuen'] This paper proposes a swarm intelligence algorithm, called firefly mating algorithm (FMA), for solving continuous optimization problems. FMA uses genetic algorithm as the core of the algorithm. The main feature of the algorithm is a novel mating pair selection method which is inspired by the…
Yu Li, Yiran Zhao, Yue Shang, Jingsen Liu + 1 more
The firefly algorithm (FA) is proposed as a heuristic algorithm, inspired by natural phenomena. The FA has attracted a lot of attention due to its effectiveness in dealing with various global optimization problems. However, it could easily fall into a local optimal value or suffer from low accuracy when solving…
Mohd Nadhir Ab Wahab, Amril Nazir, Ashraf Khalil, Benjamin Bhatt + 4 more
'Mohd Halim Mohd Noor' 'Muhammad Firdaus Akbar' 'Ahmad Sufril Azlan Mohamed' 'Sandeep Samantaray'] Path planning is a crucial element of mobile robotics applications, attracting considerable interest from academics. This paper presents a path-planning approach that utilises the Enhanced Firefly Algorithm (EFA), a new…
Raphaël Sarfati, Orit Peleg
Over the past few decades, progress in animal tracking techniques, from large migrating mammals to swarming insects, has facilitated significant advances in ecology, behavioural biology, and conservation science. Recently, we developed a technique to record and track flashing fireflies in their natural habitat using…
Chantal Nguyen, Isabella Huang, Orit Peleg
Fireflies’ dazzling light displays are courtship rituals: flying males announce their presence as suitable mates to the females on the ground. Their light signal is composed of a species-specific on/off light sequence repeated periodically. However, thousands of fireflies flashing in a swarm can create immense visual…
Raphaël Sarfati, Kunaal Joshi, Owen Martin, Julie C. Hayes + 2 more
Left alone, Photinus carolinus fireflies flash without an intrinsic period, making it uncertain when they may flash next. Yet when gathering at the mating lek in large swarms, these fireflies transition into predictability, synchronizing with their neighbors with a rhythmic periodicity. Here we propose a mechanism for…
Sanjoy Dasgupta, Charles F. Stevens, Saket Navlakha
Similarity search, such as identifying similar images in a database or similar documents on the Web, is a fundamental computing problem faced by many large-scale information retrieval systems. We discovered that the fly’s olfac-tory circuit solves this problem using a novel variant of a traditional computer science…