This paper proposes a meta-heuristic Multi-Population Firefly Algorithm (MPFA) for single-modal optimization using two multi-population models, i.e., one is based on the island model while the other on the mainland-island model. The unique characteristics of each sub-population is evolved independently and the diversity of the entire population is effectively increased. Sub-populations communic...

in the past, one of the biggest problems requiring long and complicated computing was lack of appropriate software and hardware facilities in order to compute them in a proper and logical time. due to this issue, sometimes, computing lasted for several days, months or years. therefore, computer science pioneers tried to find a solution for this problem. one of the ways was to present grid compu...

To improve the reliability and accuracy of a transformer fault diagnosis model based on backpropagation (BP) neural network, this study proposed an enhanced distributed parallel firefly algorithm Taguchi method (EDPFA). First, (DPFA) was implemented then used to enhance original communication strategies in DPFA. Second, verify performance EDPFA, compared EDPFA with (FA) DPFA under test suite Co...

DC-DC boost converter is one of the important tools photovoltaic (PV) power plant. can be used to adjust voltage output before going inverter. In addition, as additional devices make PV plant operated in maximum point condition. To get optimal adjusment, an appropriate controller essential. Generally, PI commonly control switching procedure converter. However, with uncertainty source (uncertain...

Now the Meta-Heuristic algorithms have been used vastly in solving the problem of continuous optimization. In this paper the Artificial Bee Colony (ABC) algorithm and the Firefly Algorithm (FA) are valuated. And for presenting the efficiency of the algorithms and also for more analysis of them, the continuous optimization problems which are of the type of the problems of vast limit of answer an...

Abstract: In this work, the most common problem of the modern power system named optimal power flow (OPF) is optimized using the novel meta-heuristic optimization algorithm ant lion optimizer (ALO). ALO is inspired by the hunting process of ant-lions in the natural environment. ALO has a fast convergence rate due to the use of roulette wheel selection method. For the solution of the optimal pow...

abstract— in this paper we have tried to develop an altered version of the artificial bee colony algorithm which is inspired from and combined with the meta-heuristic algorithm of firefly. in this method, we have tried to change the main equation of searching within the original abc algorithm. on this basis, a new combined equation was used for steps of employed bees and onlooker bees. for this...

In this paper the two-dimensional steady-state heat transfer geometric inverse problem is solved using Finite Element Method (FEM), Conjugate Gradient (CGM), and Firefly Algorithm (FA). Based on finite element method for solving forward model, based continuous iterative optimisation of conjugate gradient method, accuracy error function measured estimated values kept within a certain range, so t...

An NP-hard problem like Flexible Job Shop Scheduling (FJSP) tends to be more complex and requires computational effort optimize the objectives with contradictory measures. This paper aims address FJSP combined objectives, minimization of make-span, maximum workload, total workload. proposes ‘Hybrid Adaptive Firefly Algorithm’ (HAdFA), a new enhanced version classic Algorithm (FA) embedded adapt...