• Nenhum resultado encontrado

[PDF] Top 20 Flower Pollination Algorithm Applied for Different Economic Load Dispatch Problems

Has 10000 "Flower Pollination Algorithm Applied for Different Economic Load Dispatch Problems" found on our website. Below are the top 20 most common "Flower Pollination Algorithm Applied for Different Economic Load Dispatch Problems".

Flower Pollination Algorithm Applied for Different Economic Load Dispatch Problems

Flower Pollination Algorithm Applied for Different Economic Load Dispatch Problems

... Economic load dispatch (ELD) is the main optimization task in power system ...three different cost ...using flower pollination algorithm (FOA). This algorithm works ... See full document

8

Artificial bee colony algorithm for economic load dispatch with wind power energy

Artificial bee colony algorithm for economic load dispatch with wind power energy

... (ABC) algorithm for solving large scale economic load dispatch (ELD) problems in power ...system load demand, power losses, ramp rate limits and prohibited operation zones are ... See full document

14

Particle Swarm Optimization Approach For Economic Load  Dispatch: A Review

Particle Swarm Optimization Approach For Economic Load Dispatch: A Review

... optimization algorithm for solving the economic dispatch problems with smooth cost functions as well as cubic fuel cost ...ED problems have non- smooth cost functions with equality and ... See full document

10

Economic Load Dispatch Using Grey Wolf Optimization

Economic Load Dispatch Using Grey Wolf Optimization

... drop algorithm[11] ,harmony search[12] ,gravitational search algorithm[13],firefly algorithm[14],hybrid gravitational search[15],cuckoo search (CS) [16],modified harmony search[17] have been ... See full document

5

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

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

... this algorithm, hear using as an example,two case study system of 3 generators and 6 generators, and compare the solutions obtained with the ones obtained by alternative optimization techniques that have been ... See full document

8

Load Balancing in Partner-Based Scheduling Algorithm for Grid Workflow

Load Balancing in Partner-Based Scheduling Algorithm for Grid Workflow

... Static load balancing is based on the static information such as CPU capacity, memory size, link speed, and ...dynamic load balancing is based on the current status of the system and working nodes ...Static ... See full document

10

A primal-dual exterior point algorithm for linear programming problems

A primal-dual exterior point algorithm for linear programming problems

... linear problems arise in a plethora of ...Simplex Algorithm (rPSA) with the Primal-Dual Exterior Point Simplex Algorithm (PDEPSA), and the last one with LIPSOL built-in function of MATLAB’s ... See full document

10

On the shooting algorithm for partially affine control problems

On the shooting algorithm for partially affine control problems

... This does not make direct methods objectively better. Naturally, in order to ob- tain a precise solution, one would need to refine the time discretization further and further, obtaining a humongous optimization problem, ... See full document

89

Fuel consumption efficiency of an agricultural tractor equipped with continuously variable transmission

Fuel consumption efficiency of an agricultural tractor equipped with continuously variable transmission

... The summary of the ANOVA of the results of engine speed, hourly and specific fuel consumption at different travel speeds and load levels applied on the tractor, is shown in table 1. From these ... See full document

7

Mineral Detection using K-Means Clustering Technique

Mineral Detection using K-Means Clustering Technique

... novel algorithm formulated with k-means clustering performed on remote sensing ...are applied based on the proposed algorithm to detect the minerals like Giacomo that exist on the surface of the ... See full document

8

DESIGNING COST-EFFICIENT TRANSPORT SOLUTIONS FOR FIXED AND MOBILE BROADBAND ACCESS NETWORK

DESIGNING COST-EFFICIENT TRANSPORT SOLUTIONS FOR FIXED AND MOBILE BROADBAND ACCESS NETWORK

... Operators are designing cost-efficient transport network solutions, by analyzing investments in the Total Cost of Ownership, which is a strategy to give network operators a global idea of what is occurring, and what will ... See full document

119

A Hybrid Genetic Algorithm for Constrained Combinatorial Problems: An Application to Promotion Planning Problems

A Hybrid Genetic Algorithm for Constrained Combinatorial Problems: An Application to Promotion Planning Problems

... The weekly problem faced by SIC, typically involves the broadcast of about 1350 spots, chosen from around 90 different ones, in roughly 200 time slots. The dura- tion of each of these time slots, here and ... See full document

6

Steganography Algorithm in Different Colour Model Using an Energy Adjustment Applied with Discrete Wavelet Transform

Steganography Algorithm in Different Colour Model Using an Energy Adjustment Applied with Discrete Wavelet Transform

... is applied the low-pass filtering through the rows and columns obtain the subband LH, the third decomposition is similar to HL but reverses the first filter is the high-pass filter and later the low-pass filter ... See full document

11

Key words: competition for pollination, fruitseed set, pollen placement, pollen load, pollinator sharing,

Key words: competition for pollination, fruitseed set, pollen placement, pollen load, pollinator sharing,

... Hummingbirds are the most important group of pollinating birds in the Neotropics and tend to use, concomitantly, more than one plant species as food source. Pollen may be mixed on hummingbirds’ body due to the visits to ... See full document

11

An Improved Differential Evolution Based Dynamic Economic Dispatch with Nonsmooth Fuel Cost Function

An Improved Differential Evolution Based Dynamic Economic Dispatch with Nonsmooth Fuel Cost Function

... Dynamic economic dispatch (DED) is one of the major operational decisions in electric power systems. DED problem is an optimization problem with an objective to determine the optimal combination of power ... See full document

11

Experimental study of a photovoltaic solar dryer

Experimental study of a photovoltaic solar dryer

... A known fact about the less developed countries is that they face severe energy problems and therefore face obstacles in the conservation of their agricultural products. This lack of energy creates more poverty ... See full document

9

Distributed Large Dataset Deployment with Improved Load Balancing and Performance

Distributed Large Dataset Deployment with Improved Load Balancing and Performance

... when applied, it delivers many profits such as the following: Decrease in operational costs and capital, Energy savings for a greener environment, Hard-to-find person‟s resource savings ... See full document

4

Efficient Load Balancing Routing Technique for Mobile Ad Hoc Networks

Efficient Load Balancing Routing Technique for Mobile Ad Hoc Networks

... are different categories of routing protocols introduced with different goals and objectives for MANETs such as proactive routing protocols ...research problems with such routing protocols to address ... See full document

6

Light field image coding using high order prediction training

Light field image coding using high order prediction training

... training algorithm. The proposed approach is applied as an Intra prediction method based on a two-stage block-wise high order prediction model that supports geometric transformations up to eight degrees of ... See full document

6

Effective Load Metric and Efficient Initial Job Placement for Dynamic Load Balancing in Cluster

Effective Load Metric and Efficient Initial Job Placement for Dynamic Load Balancing in Cluster

... proposed load balancing algorithm, different nodes may be chosen as target nodes for each new ...this algorithm, the node with zero CPU utilization is the only idle node, and it is always ... See full document

8

Show all 10000 documents...