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[PDF] Top 20 Multiobjective deterministic economic-emission load dispatch optimization problem using firefly algorithm

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Multiobjective deterministic economic-emission load dispatch optimization problem using firefly algorithm

Multiobjective deterministic economic-emission load dispatch optimization problem using firefly algorithm

... classical economic dispatch, which operates electric power systems so as to minimize only the total fuel cost, can no longer be considered ...environmental dispatch, emissions can be reduced by ... See full document

8

MULTI OBJECTIVE ECONOMIC DISPATCH USING PARETO FRONTIER DIFFERENTIAL EVOLUTION

MULTI OBJECTIVE ECONOMIC DISPATCH USING PARETO FRONTIER DIFFERENTIAL EVOLUTION

... genetic algorithm (NPGA) based approach to solve the multi-objective environmental/economic dispatch (EED) problem was presented in ...EED problem was formulated as a non-linear ... See full document

8

Economic Load Dispatch Using Grey Wolf Optimization

Economic Load Dispatch Using Grey Wolf Optimization

... ELD problem, but it suffer from problem of irritation of dimensionality ...swarm optimization (PSO) [9], biogeography-based optimization [10],intelligent water drop algorithm[11] ... See full document

5

Particle Swarm Optimization Approach For Economic Load  Dispatch: A Review

Particle Swarm Optimization Approach For Economic Load Dispatch: A Review

... swarm optimization algorithm for solving the economic dispatch problems with smooth cost functions as well as cubic fuel cost ...the problem of finding the global optimum difficult ... See full document

10

Efficient Load Balancing Routing Technique for Mobile Ad Hoc Networks

Efficient Load Balancing Routing Technique for Mobile Ad Hoc Networks

... The mobile nodes in MANET are located randomly and continuously changing their positions in network. Thus, the interconnections among mobile nodes are also changing frequently. Such networks are thus self-organizing and ... See full document

6

Wastewater treatment systems selection inside watersheds by using multiobjective analysis

Wastewater treatment systems selection inside watersheds by using multiobjective analysis

... solve optimization problems, the water resources planning and management area has seen considerable increase in the development and application of several types of evolutionary algorithms, given their potential ... See full document

14

A Deterministic and Polynomial Modified Perceptron Algorithm

A Deterministic and Polynomial Modified Perceptron Algorithm

... It is not evident that this algorithm will terminate. But Dunagan and Vempala prove that the margin of the Linear Program will increase in mean, when many rescalings are made inside the algorithm. This will ... See full document

14

Optimization of transportation channels in supply chain design Using Genetic Algorithm

Optimization of transportation channels in supply chain design Using Genetic Algorithm

... reasons, optimization of supply chain network involves decisions over several ...a problem of designing a multi-echelon supply chain with the single sourcing type and the related inventory ...by ... See full document

9

Pesqui. Oper.  vol.34 número3

Pesqui. Oper. vol.34 número3

... In this survey we considered unconstrained problems with the stochastic or expectation objective function. We focused our attention on two specific classes of gradient-related methods: Stohastic Approximation and Sample ... See full document

21

MIMO array capacity optimization using a genetic algorithm

MIMO array capacity optimization using a genetic algorithm

... searching algorithm, it is not limited to numerical field operations and can use any operation that can be expressed in the ...the algorithm is capable or not of leaving the local ...GA optimization ... See full document

11

Uso de algoritmos evolucionários na calibração de modelos hidrológicos e na operação de sistemas de reservatórios

Uso de algoritmos evolucionários na calibração de modelos hidrológicos e na operação de sistemas de reservatórios

... Swarm Optimization) e o SCEM (Shuffled Complex Evolution Metropolis), enquanto que para o problema multiobjetivo o algoritmo proposto será avaliado tendo como referência as versões multiobjetivo dos anteriores, o ... See full document

198

Otimização Multiobjetivo Aplicada ao Planejamento Sistemático de Conservação para Espécies de Plantas do Cerrado Brasileiro

Otimização Multiobjetivo Aplicada ao Planejamento Sistemático de Conservação para Espécies de Plantas do Cerrado Brasileiro

... planning problem (SCP) based on multi-objective optimization (MOO) and bio-inspired ...problems using data from plants of the Brazilian Cerrado ...first problem, we looked for the smallest set ... See full document

278

Procedural Optimization Models for Multiobjective Flexible JSSP

Procedural Optimization Models for Multiobjective Flexible JSSP

... other optimization models are named unconventional models; they place the pro- cess model on a secondary layer and the pri- mary role in modeling is assessed here to a procedure that controls the ...cedural ... See full document

12

REM, Int. Eng. J.  vol.69 número3

REM, Int. Eng. J. vol.69 número3

... the deterministic and probabilistic optimization of struc- tures against bending when submitted to dynamic ...The deterministic optimiza- tion problem considers the plate submitted to a time ... See full document

6

Using Interval Graphs in an Order Processing Optimization Problem

Using Interval Graphs in an Order Processing Optimization Problem

... the problem can be put in a graph with a vertex for each client [9] and a solution can be obtained by traversing the arcs of that graph, giving an ordering of the vertices and consequently of the products ... See full document

7

Optimization of hole-making operations for injection mould using particle swarm optimization algorithm

Optimization of hole-making operations for injection mould using particle swarm optimization algorithm

... The optimization of this example is carried out using recently developed particle swarm optimization (PSO) ...obtained using PSO are compared with those obtained using tabu search ... See full document

12

Transforming an Existing Distribution Network Into Autonomous MICRO-GRID using particle swarm optimization (Review)

Transforming an Existing Distribution Network Into Autonomous MICRO-GRID using particle swarm optimization (Review)

... Swarm Optimization (PSO) algorithm to solve the optimal network reconfiguration problem for power loss ...PSO algorithm is introduced with some modifications such as using an inertia ... See full document

5

Eddy current testing probe optimization using a parallel genetic algorithm

Eddy current testing probe optimization using a parallel genetic algorithm

... obtained using a numerical method for magnetic field ...The problem is solved using FEMM [2] software code and the model region is given in ... See full document

10

APPLICATION OF ANN IN ECONOMIC GENERA-TION SCHEDULING IN IEEE 6-BUS SYSTEM

APPLICATION OF ANN IN ECONOMIC GENERA-TION SCHEDULING IN IEEE 6-BUS SYSTEM

... system load by interconnection of power ...The economic generation scheduling problem involves two separate steps namely: (1) Unit commitment and ... See full document

6

Adaptive firefly algorithm: parameter analysis and its application.

Adaptive firefly algorithm: parameter analysis and its application.

... In the numerical experiments, we compared the performances of all five proposed AdaFa variants with FA and other three PSO- based algorithms, and the statistical results demonstrated the five AdaFa variants were ... See full document

12

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