[PDF] Top 20 Multi-Objective Method For Electrical Distribution Network Using Modified Firefly Algorithm

... 3 objective functions, the idea of Pareto optimal points was ...optimization algorithm based on modified firefly algorithm was ...proposed algorithm over other well-known ... See full document

... an algorithm based on modified discrete particle swarm algorithm (MDPSO) and modified particle swarm optimization (MPSO) is proposed to find the optimal network reconfiguration and ... See full document

... a distribution network and then reconfigure its ...tribution network and found that the optimal placement of a SVC and a DG significantly improves the ability of a transfer of an electrical ... See full document

... Distribution systems usually open ring design and operation as are ...the network losses will be ...the distribution system is changed by opening sectionalizing switches and closing tie switches so ... See full document

... a distribution system configuration. The algorithm considers only power loss reduction as the ...heuristic algorithm for determining the minimum loss configuration of radial distribution ... See full document

... the method that can use is by applying the reconfiguration feeder distribution on 33-bus network ...feeder distribution, it can be used to balance the load on each bus in distribution ... See full document

... of network learning by using the SI method may overcome the standard gradient-based learning algorithm ...SI method is concerned with the design of intelligent multi-agent ... See full document

... Abstract: Firefly algorithm is among the nature-inspired optimization ...standard firefly algorithm has been successfully applied to many engineering ...this algorithm might be stuck in ... See full document

... the electrical networks have multiplied and ...of electrical networks reconfiguration in order to improve their ...their method is efficient and ...GA method for reconfiguring ... See full document

... RFID network planning (RNP) problem belongs to the large-scale multi-objective hard optimization ...hybrid firefly algorithm was developed for multi-objective RNP ... See full document

... in distribution system operation and management helps in improving system conditions and to provide good services to the ...The distribution sectors have given major scope for placement of ... See full document

... Physarum Polycephalum is a large, single-celled amoeboid organism that ex- hibits intelligent plant-like and animal-like characteristics. Its main vegetative state, the plasmodium, is formed of a network of veins ... See full document

... of multi- objective ...neural network model of the engine as an alternative to the combustion ...neural network model of the engine has been developed, results of trained neural network ... See full document

... By using objective penalty functions as utility functions for MP, the paper obtains a satisfactory solution, when the decision maker is allowed, in the interactive algorithm, to choose another weight ... See full document

... Genetic algorithm determines new location for each ...applications. Network optimization is needed for achieving desired goals as minimize energy consumption and maximize network ...networks ... See full document

... neural network to predict the heart ...Genetic Algorithm based on Random Forest (GARF) [6] was proposed for oesophageal cancer ...by using GARF. GARF was developed based on GA associated with a new ... See full document

... important objective functions to be optimized simultaneously as a complex multi-objective optimization problem ...such multi- objective optimization of a complete dynamic model , the ... See full document

... The optimization of temporary steel sheds has been done using ANSYS workbench. The results of optimization were discussed in above section. Three models were optimized having different panel length of L/30, L/36 ... See full document

... by using a multi-objective genetic algorithm with Pareto ranking ...the objective of minimizing the variance within clusters and maximizing variance between ... See full document

... single objective optimization ...be modified for solving multi- objective optimization ...in multi- objective optimization, we aim to find Pareto optimal ...Besides using ... See full document