نتایج جستجو برای: firefly algorithm fa

تعداد نتایج: 771456  

2013
T.Kanimozhi K.Latha

With the potential growth of multimedia hardware and applications, the machines have to realize the information by adapting to the internal information. An adaptive content based image retrieval (CBIR) approach based on relevance feedback and Firefly algorithm is proposed in this paper. In addition to the color descriptor, wavelet-based texture descriptor is considered to improve the retrieval ...

2015
Faisal Shabbir Piotr Omenzetter

Model updating can be considered as a branch of optimization problems in which calibration of the finite element (FE) model is undertaken by comparing the modal properties of the actual structure with these of the FE predictions. The attainment of a global solution in a multi dimensional search space is a challenging problem. The nature-inspired algorithms have gained increasing attention in th...

2012
Narwant S. Grewal Munish Rattan Manjeet S. Patterh

The element failure of antenna arrays increases the sidelobe power level. In this paper, the problem of antenna array failure has been addressed using Firefly Algorithm (FA) by controlling only the amplitude excitation of array elements. A fitness function has been formulated to obtain the error between pre-failed (original) sidelobe pattern and measured sidelobe pattern and this function has b...

H. Barati, S. Gholizadeh,

In the present study, the computational performance of the particle swarm optimization (PSO) harmony search (HS) and firefly algorithm (FA), as popular metaheuristics, is investigated for size and shape optimization of truss structures. The PSO was inspired by the social behavior of organisms such as bird flocking. The HS imitates the musical performance process which takes place when a musicia...

Journal: :IET Computer Vision 2013
Ming-Liang Gao Xiaohai He Dai-Sheng Luo Jun Jiang Qizhi Teng

Firefly algorithm (FA) is a new meta-heuristic optimisation algorithm that mimics the social behaviour of fireflies flying in the tropical and temperate summer sky. In this study, a novel application of FA is presented as it is applied to solve tracking problem. A general optimisation-based tracking architecture is proposed and the parameters’ sensitivity and adjustment of the FA in tracking sy...

2012
N. S. Grewal M. Rattan Narwant S. Grewal Munish Rattan Manjeet S. Patterh

The element failure of antenna arrays increases the sidelobe power level. In this paper, the problem of antenna array failure has been addressed using Firefly Algorithm (FA) by controlling only the amplitude excitation of array elements. A fitness function has been formulated to obtain the error between pre-failed (original) sidelobe pattern and measured sidelobe pattern and this function has b...

2012
Shaik Farook

This paper presents the application of Fractional Order PID controller as a supplementary controller to improve the dynamics of LFC in multi area deregulated power system. FOPID is a PID controller whose derivative and integral orders are of fractional rather than integer. The extension of derivative and integration order from integer to fractional order provides more flexibility in design of t...

2016
Rogério B. Francisco M. Fernanda P. Costa Ana Maria A. C. Rocha

Firefly Algorithm (FA) is a stochastic population-based algorithm based on the flashing patterns and behavior of fireflies. Original FA was created and successfully applied to solve bound constrained optimization problems. In this paper we present extensions of FA for solving nonsmooth nonconvex constrained global optimization problems. To handle the constraints of the problem, feasibility and ...

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...

Journal: : 2023

A mobile robot's major purpose is to get its destination by traveling over an optimum path defined various parameters such as time, distance, and the safety from any impediments in path. As a result, backbone of autonomous robot planning obstacle avoidance. Several algorithms for avoidance have been presented researchers, each with own set benefits drawbacks. This paper focuses on two parts; fi...

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