نتایج جستجو برای: adaptive modified firefly algorithm

تعداد نتایج: 1139392  

2016
C. Hemalatha M. Valan Rajkumar G. Vidhya Krishnan

This paper presents the simulation and analysis of maximum power point tracking (MPPT) control with modified firefly algorithm (MFA) for photovoltaic (PV) system. The availability of solar energy varies widely with ambient temperature and different atmospheric conditions and hence the maximum power point (MPP) of PV system is not stable. Therefore, a MPPT controller is needed to operate the PV ...

Robust adaptive estimation of unknown parameter has been an important issue in recent years for reliable operation in the distributed networks. The conventional adaptive estimation algorithms that rely on mean square error (MSE) criterion exhibit good performance in the presence of Gaussian noise, but their performance drastically decreases under impulsive noise. In this paper, we propose a rob...

2013
Adil Hashmi Nishant Goel Shruti Goel Divya Gupta

Meta-heuristic algorithms prove to be competent in outperforming deterministic algorithms for real-world optimization problems. Firefly algorithm is one such recently developed algorithm inspired by the flashing behavior of fireflies. In this work, a detailed formulation and explanation of the Firefly algorithm implementation is given. Later Firefly algorithm is verified using six unimodal engi...

ژورنال: محاسبات نرم 2019

In this paper, a hybrid multi-objective algorithm consisting of features of genetic and firefly algorithms is presented. The algorithm starts with a set of fireflies (particles) that are randomly distributed in the solution space; these particles converge to the optimal solution of the problem during the evolutionary stages. Then, a local search plan is presented and implemented for searching s...

Journal: :journal of operation and automation in power engineering 2015
r. sedaghati f. namdari

one of the significant strategies of the power systems is economic dispatch (ed) problem, which is defined as the optimal generation of power units to produce energy at the lowest cost by fulfilling the demand within several limits. the undeniable impacts of ramp rate limits, valve loading, prohibited operating zone, spinning reserve and multi-fuel option on the economic dispatch of practical p...

2012
Ivona BRAJEVIC Milan TUBA Nebojsa BACANIN

Firefly algorithm (FA) is recently developed nature-inspired metaheuristic based on the flashing patterns and behaviour of fireflies. Original FA was successfully applied to solve unconstrained optimization problems. This paper presents firefly algorithm to solve constrained optimization problems. For constraint handling, firefly algorithm uses certain feasibility-based rules in order to guide ...

2016
B. Suresh Babu

Optimal Power Flow (OPF) is an important operational and planning problem in minimizing the chosen objective functions of the power systems. The recent developments in power electronics have enabled introduction of dc links in the AC power systems with a view of making the operation more flexible, secure and economical. This paper formulates a new OPF to embrace dc link equations and presents a...

2016
Dr. P. Radha M. Thilakavathi

1Head and Assistant Professor, Dept. of Computer Technology, Vellalar College for Women, Erode, Tamilnadu,india 2Research Scholar, Department of Computer Science, Vellalar College for Women, Erode, Tamilnadu, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract -Sequence classification is an im...

Journal: :Comp.-Aided Civil and Infrastruct. Engineering 2015
Jui-Sheng Chou Anh-Duc Pham

Advanced data mining techniques are potential tools for solving civil engineering (CE) problems. This study proposes a novel smart artificial firefly colony algorithm-based support vector regression (SAFCA-SVR) system that integrates firefly algorithm (FA), chaotic maps, adaptive inertia weight, Lévy flight, and least squares support vector regression (LS-SVR). First, adaptive approach and rand...

2011
SH. MASHHADI FARAHANI A. AMIN ABSHOURI B. NASIRI M. R. MEYBODI

Firefly algorithm is one of the evolutionary optimization algorithms, and is inspired by the behavior of fireflies in nature. Though efficient, its parameters do not change during iterations, which is also true for particle swarm optimization. This paper propose a hybrid model to improve the FA algorithm by introducing learning automata to adjust firefly behavior, and using genetic algorithm to...

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