Showing 1-25 of 1,482 resultsfor "Index Terms":Firefly algorithm
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Comparative analysis of nature inspired algorithms on data clustering
2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)
Year: 2015 | Conference Paper |
Cited by: Papers (9)
K-Means clustering is well accepted clustering algorithm that huddle similar data objects in a simple and quick way. The convergence speed of K-Means clustering is quite appreciable but it has drawback of getting stuck into local optima. Hence, optimal clustering results are not attained. Nature inspired algorithm when integrated with clustering algorithm provides global optimal solution. The pape...Show More
Automatic Clustering for Selection of Optimal Number of Clusters by K-Means Integrated with Enhanced Firefly Algorithms
2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Unsupervised machine learning includes data clustering, which discovers and comprehends underlying data patterns as well as classifies objects within a dataset based on similarity metrics such as Davies-Bouldin (DB) and CompactSeparatedValues (CSV) (CS). The most well-known and powerful partitional clustering algorithm is the K-means clustering algorithm, which is one of the top ten most frequentl...Show More
Comparative Study on Recent Development of Heuristic Optimization Methods
Van-Oanh Sai;Chin-Shiuh Shieh;Yuh-Chung Lin;Mong-Fong Horng;Trong-The Nguyen;Quang-Duy Le;Jung-Yi Jiang
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)
Year: 2016 | Conference Paper |
Cited by: Papers (6)
In engineering and design problems, various noisy non-linear mathematical optimization problems can't be efficaciously solved by using conventional optimization techniques. But metaheuristic algorithms seem very efficient to approach in these problems and became very popular such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO). Recently, many new metaheuristic algorithms were proposed...Show More
A new modified firefly algorithm for function optimization
Shubhendu Kumar Sarangi;Rutuparna Panda;Sabnam Priyadarshini;Archana Sarangi
2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)
Year: 2016 | Conference Paper |
Cited by: Papers (21)
This paper intends to provide a modified firefly algorithm based on firefly algorithm and improved particle swarm optimization. This firefly algorithm is a category of nature-enthused algorithm of swarm intelligence, i.e. depends on the response of a firefly to the light of other fireflies and also perform well on various numerical optimization problems. The modified algorithm uses the improved ve...Show More
Performance evaluation of a new modified firefly algorithm
Proceedings of 3rd International Conference on Reliability, Infocom Technologies and Optimization
Year: 2014 | Conference Paper |
Cited by: Papers (6)
New advancements in Meta-heuristics have forced the researchers to modify the existing algorithms in order to make them widely applicable to a large pool of complex problem set. Firefly Algorithm being a new nature-inspired algorithm has been used extensively for solving various optimization problems. The standard version namely, Standard Firefly Algorithm(SFA) was introduced in 2008 which uses th...Show More
Design of adaptive IIR filter with modified firefly algorithm for parameter estimation
2018 Technologies for Smart-City Energy Security and Power (ICSESP)
Year: 2018 | Conference Paper |
Cited by: Papers (2)
This article presents a design of digital infinite impulse response (IIR) filter with traditional and modified firefly algorithms for parameter estimation of unknown systems. The parameters of the filter to be designed are considered as an optimization vector. Traditional learning techniques create stability problem and the performance drastically deteriorates in case of reduced order adaptive mod...Show More
Metaheuristic Algorithms for Self-Organizing Systems: A Tutorial
2012 IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems
Year: 2012 | Conference Paper |
Cited by: Papers (3)
By analyzing the similarity of a self-organizing system and an optimization process, we highlight that optimization can be considered as self-organization. We analyze the characteristics of some popular met heuristic algorithms such as firefly algorithm and cuckoo search for applications in self-organizing systems.Show More
Bio-Inspired Algorithms for Prey Model Optimization(February 2022)
2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)
Year: 2022 | Conference Paper |
Optimization means making the best use of anything or using resources effectively or achieving high quality under the constraints offered. Or at the lowest cost to achieve the optimum result. This research paper contains the algorithms all of which are inspired by the design of BAT algorithms, firefly algorithms and cuckoo algorithms. Also their improved version to optimize the various problems fo...Show More
Optimized Altitude Control for Quadrotor UAV in Virtual Environment
Ibnu Masngut;Gilang N. P. Pratama;Adha I. Cahyadi;Samiadji Herdjunanto
2019 International Conference on Information and Communications Technology (ICOIACT)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
Quadrotors offer many interesting features and have great potential to be used in many social applications. Unfortunately, due to its nature as an underactuated system, it can be made stable by itself. Hence, such a control strategy is required. This paper presents the optimized PID controller with Firefly Algorithm (FA) for quadrotor in virtual environment. The results verify that the optimized P...Show More
Pattern Search Firefly Algorithm for Solving Systems of Nonlinear Equations
2014 Seventh International Symposium on Computational Intelligence and Design
Year: 2014 | Conference Paper |
Cited by: Papers (4)
It is very important problem to solve systems of nonlinear equations in scientific research and engineering computation. Most traditional algorithms have the shortcomings such as high sensitivity to initial guess of the solution and poor convergence. In this paper, we present a method to solve nonlinear equation systems by using the Firefly Algorithm. It is very effective to improve computation pr...Show More
2PS: A novel swarm based selection algorithm for ensemble learning problem
2015 International Congress on Technology, Communication and Knowledge (ICTCK)
Year: 2015 | Conference Paper |
Cited by: Papers (1)
Discovering the effective subset of models in a pool of classifiers is an important and remarkable topic in ensemble learning scope. Using meticulously selected subset instead of entire ensemble leads to more efficient and effective results. This paper introduces a novel hybrid ensemble selection method of firefly and forward search algorithms. Because of the two different selection phases in the ...Show More
A Study of LMS Adaptive Filters Based on the Firefly Algorithm
2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
To address the problems of slow convergence and large filtering error of the LMS algorithm, this paper uses the firefly algorithm to improve the LMS algorithm. The improved algorithm uses the behaviour of attraction and movement between groups of fireflies and links the convergence step of the LMS algorithm with the firefly movement step so that the LMS algorithm converges in the process of achiev...Show More
A hybrid firefly algorithm
2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
Year: 2017 | Conference Paper |
Cited by: Papers (16)
Firefly Algorithm (FA) is a bio-inspired algorithm simulating the flashing behavior of fireflies. In original algorithm, all the fireflies are unisex and only the flashing behavior is simulated. This paper presents a novel hybrid firefly algorithm (HFA) adding mating behavior in original firefly algorithm. The new algorithm is compared with FA and other three well-known bio-inspired algorithms on ...Show More
Design of intelligent Maximum Power Point Tracking (MPPT) technique based on swarm intelligence based algorithms
Tapas Chakrabarti;Udit Sharma;Suvrajit Manna;Tyajodeep Chakrabarti;Subir Kumar Sarkar
2015 International Conference on Power and Advanced Control Engineering (ICPACE)
Year: 2015 | Conference Paper |
Cited by: Papers (4)
Main objective of this paper is to develop an intelligent and efficient Maximum Power Point Tracking (MPPT) technique. Two most recently introduced and popular swarm intelligent based algorithms: Firefly algorithm (FA) and Artificial Bee Colony (ABC) has been used in this study to develop a novel technique to track the Maximum Power Point (MPP) of a solar cell module. The performances of two algor...Show More
Optimal task scheduling in cloud computing environment: Meta heuristic approaches
2015 2nd International Conference on Electrical Information and Communication Technologies (EICT)
Year: 2015 | Conference Paper |
Cited by: Papers (20)
Cloud computing is the latest continuation of parallel computing, distributed computing and grid computing. In this system, user can make use of different services like storage, servers and other applications. Cloud resources are not only used by numerous users but are also dynamically redistributed on demand. Requested services are delivered to user's computers and devices through the Internet. T...Show More
Hybrid firefly algorithm based distribution state estimation with regard to renewable energy sources
2016 International Conference on Microelectronics, Computing and Communications (MicroCom)
Year: 2016 | Conference Paper |
Cited by: Papers (5)
Renewable energy, which is a continuous source of energy, can be classified as the sun, running water, biomass, wind, geothermal sources and ocean currents. Several research works projects about 30% of the total generations will be from Renewable Energy Sources (RES) in future and so it's important to analyze different prospects of RES mainly over distribution networks. In this paper, a new Distri...Show More
Effectiveness of the Bio-Inspired Firefly Algorithm in Adaptive Signal Processing for Nonlinear Systems
2019 IEEE International Symposium on Circuits and Systems (ISCAS)
Year: 2019 | Conference Paper |
Cited by: Papers (8)
In this paper the performance of the Genetic Algorithm (GA), the Particle Swarm Optimization (PSO) algorithm, the Modified Particle Swarm Optimization (MPSO) algorithm, and the Lévy Flight Firefly Algorithm (LFFA) are compared for system identification with various types of nonlinear systems. When performing system identification with Volterra nonlinear adaptive structures, matched-order fixed-non...Show More
A New Path Planning Method Based on Firefly Algorithm
2012 Fifth International Joint Conference on Computational Sciences and Optimization
Year: 2012 | Conference Paper |
Cited by: Papers (36)
Firefly algorithm is a new nature-inspired algorithm and has been used gradually in solving optimization problems. a path planning method based on firefly algorithm was proposed. After the detailed analysis of the basic algorithm, random parameter and absorption parameter were designed to be adaptive, and this can improve the solution quality and convergence speed of the firefly algorithm. Accordi...Show More
A survey on an optimal solution for VLSI circuit partitioning in physical design using DPSO & DFFA algorithms
2017 International Conference on Intelligent Sustainable Systems (ICISS)
Year: 2017 | Conference Paper |
Cited by: Papers (1)
Circuits partitioning assumes a vital part in designing very large scale integration (VLSI) chips. Circuit partitioning is a critical step in the front end design. The interest in finding an optimal solution for partitioning in VLSI circuits has been a hot issue now days. In VLSI circuit partitioning, the issue of getting a minimum cut, less interconnects, low power, minimum delay and less area is...Show More
Solving Traveling Salesman Problem using Firefly algorithm and K-means Clustering
2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)
Year: 2019 | Conference Paper |
Cited by: Papers (21)
Traveling Salesman Problem (TSP) is a significant combinatorial optimization problem. TSP is NP-hard problem which involves finding the minimum tour length among a given set of nodes and return to the starting node knowing that each node must be visited once. This paper proposes a solution to TSP using Firefly Algorithm (FA) and k-means clustering. The proposed approach comprises three major steps...Show More
Hybrid metaheuristic for the combined economic-emission dispatch problem
2015 12th International Symposium on Programming and Systems (ISPS)
Year: 2015 | Conference Paper |
Cited by: Papers (4)
The combined economic-emission dispatch procedure in electric power systems treat economic and emission impact as competing objectives, which requires some form of conflict resolution to achieve a solution, that's why we need efficient optimization algorithms. Firefly algorithm and bat algorithm are the most recent methods and they already proved there efficient in several fields of research. In t...Show More
Logistics distribution is adaptive, dynamic and open self-organizing system, which is maintained by flows of information, materials, goods, funds and energy. This article presents biological intelligence for modelling and optimization on vehicle routing problem (VRP) of logistics distribution. The aim of this research is to create a novel hybrid model including genetic and firefly algorithms in ro...Show More
Multi-user detection in CDMA systems using firefly based optimization
2017 International Conference on Inventive Communication and Computational Technologies (ICICCT)
Year: 2017 | Conference Paper |
In this paper, the comparison of several optimization methods for solving the optimal multiuser detection problem exactly or approximately are discussed. The purpose of using these algorithms is to provide complexity constraint alternatives to solving this nondeterministic polynomial-time (NP)-hard problem. An approximate solution is found firefly based optimization which is used to provide an exa...Show More
Parallel Approach to the Firefly Algorithm
Gabriel Linhares;Guilherme Costa;Leonardo Jacobson;Lucio Rodrigues;Vitor Ballabenute;Guilherme Wachs-Lopes;Paulo Rodrigues
2018 XLIV Latin American Computer Conference (CLEI)
Year: 2018 | Conference Paper |
Distributed computing is a computation approach in which many calculations are made at the same time in a distributed memory model, exploring the fact that big problems can sometimes be divided into little ones that can be solved at the same time. This paper uses the distributed computing concept to optimize the sequential version of the Firefly Algorithm (FA). Results show that the proposed distr...Show More
Comparison of PSO, FA, and BA for Discrete Optimization Problems
2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
Swarm intelligence (SI) is widely applied for optimizing both continuous and discrete problems. Many papers have investigated them for continuous optimizations since most swarm-based algorithms are designed based on continuous movements, which are simply calculated using vector-based mathematical operations. It is quite easy to select the best SI algorithm for a given continuous problem. However, ...Show More
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