modified Newton optimization algorithm
A Modified Regularized Newton Method for Unconstrained Convex Optimization
... a modified regularized Newton method (M-RNM) for minimizing a convex function whose Hessian matrices may be ...M-RNM algorithm is also given by using trust region ...
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A modified nonmonotone BFGS algorithm for unconstrained optimization
... Newton equation (.) also contains both gradient and function value information, and it has been proved that the new formula has a higher order approximation to ∇ f (x). Fur- thermore, Yuan et al. [] ...
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Optimal Designs Technique for Locating the Optimum of a Second Order Response Function
... the Newton-Raphson and Mean-centre al- gorithms for obtaining the optimum and the exploration of near optimal settings within the optimal ...already modified an algorithm by [10] to solve an ...
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Robust Adaptive Modified Newton Algorithm for Generalized Eigendecomposition and Its Application
... nonlinear optimization problem, and a robust adaptive mod- ified Newton algorithm is developed to estimate the princi- pal generalized ...proposed algorithm is also ...
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A projected Hessian Gauss Newton algorithm for solving systems of nonlinear equations and inequalities
... It is worth mentioning that either direct or iterative methods can be used to solve the trust-region subproblems arising in the above algorithm. Recently Abdel-Aziz [2] pro- posed a new method for computing the ...
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Congestion management optimization in electric transmission system
... The optimization problem is solved using the PSO method, introduced in Section ...PSO algorithm is modified so that it can simultaneously minimize re-dispatch costs of each hour and each day ...
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A Modified Ant Colony Optimization Algorithm for Power Scheduling
... is traced from the same and rest of power is drawn from further sources. The generation of electric power may be planned and the future power needs can be predicted by using Artificial Neural Network (ANN) [3] method. ...
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A Modified Particle Swarm Optimization Algorithm for Reliability Redundancy Optimization Problem
... Swarm Optimization[30] is an evolution algorithm based on swarm ...PSO algorithm is used to solve the optimization problem[31,32], the solution is corresponding to the position of the bird in ...
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An Efficient Modified Shuffled Frog Leaping Optimization Algorithm
... 4) They generally can find optimal or near-optimal solutions. Nowadays, artificial intelligence techniques have found many successful applications in science and engineering (for example see Refs. [1-10] for intelligent ...
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MODELING OF BROADBAND LIGHT SOURCE FOR OPTICAL NETWORK APPLICATIONS USING FIBER NON LINEAR EFFECT
... MPSO is one of the most reliable algorithms for finding the global optima but it has disadvantages concerning local optima search. In order to remedy the later, SA, which has a strong ability for finding the local ...
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SOLVING ECONOMIC LOAD DISPATCH PROBLEM WITH VALVE POINT LOADINF EFFECT USING WHALE OPTIMIZATION ALGORITHM INTEGRAT-ED WITH LOACAL SEARCH DETERMINISTIC TECHNIQUES
... In this test system for the power requirement of 1800 MW the required coefficients for fuel cost and the minimum and maximum generation limits of generators are obtained from [6]. The losses associated with power ...
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Weight and deflection optimization of Cantilever Beam using a modified Non-Dominated sorting Genetic Algorithm
... an optimization problem which aims minimizing the weight of the structure simultaneously with minimizing the deflection ...multi-objective optimization problem, where the deflection and weight are kind of ...
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A Modified Discreet Particle Swarm Optimization for a Multi-level Emergency Supplies Distribution Network
... heuristics algorithm under uncertainty ...heuristic algorithm is developed to solve the ...proposed algorithm can get approximate optimal solutions in a short time period ...distribution ...
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DEVELOPMENT AND APPLICATION OF A STAGE GATE PROCESS TO REDUCE THE UNERLYING RISKS OF IT SERVICE PROJECTS
... In table 6, The data bus in which the total load is at 655,580 MW, the data channel and the function of the cost of fuel thermal power generations is indicated in table 7 and table 8. For the data of the power ...
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Modified Ant Colony Optimization Algorithm for Travelling Salesman Problem
... Colony Optimization (ACO) a useful approach to find near optimal solutions in polynomial time for Nondeterministic Polynomial time (NP) ...colony algorithm is superior to simulated annealing and genetic ...
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Modified Cat Swarm Optimization Algorithm for Design and Optimization of IIR BS Filter
... CSO algorithm together with the opposition based learning strategy is used to design the optimal and stable digital IIR BS ...criterion optimization problem of designing digital IIR BS ...CSO ...
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An Efficient Path Planning Algorithm for Networked Robots using Modified Optimization Algorithm
... Genetic Algorithm and additional Artificial Intelligence ...a modified particle swarm optimization (MPSO) to propose a new ...MPSO algorithm comprises of adaptive random fluctuations (ARFs) ...
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Simulation and hardware implementation of STATCOM Dynamic Voltage Restorer (S D) device
... the Newton- Raphson method has proved out to be the most successful algorithm with its strong convergence ...apply Newton-Raphson method to the power quality problem the relevant equations expressed ...
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Distributed Modified Extremal Optimization for Reducing Crossovers in Reconciliation Graph
... extremal optimization model called distributed modified extremal optimization (DMEO) for reducing crossovers in a reconciliation ...genetic algorithm (DGA) model [13], ...
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Moth Dolphin Optimization Algorithm: A Nature Inspired Technique
... It is conjectured that EQ gives a gauge of the knowledge level or discernment of a specific creature. The normal human cerebrum weighs around 1.3 kg, yet the bottlenose dolphin mind, averaging 1.7 kg, is around 25% ...
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