Search Results - regional optimization ((method algorithm) OR (mead algorithm))
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Fitting time-varying coefficients SEIRD model to Covid-19 cases in Malaysia
Published 2023“…Nelder-Mead outperforms the other optimization algorithm with the least error. …”
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Regionalization by fuzzy expert system based approach optimized by genetic algorithm.
Published 2013“…The adopted approach was found superior to the conventional hydrologic regionalization methods in the region because it employs greater number of homogeneity parameters and produces lower values of heterogeneity criteria.…”
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Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed
Published 2012“…The application of FES optimized by GA on regionalization creates opportunities for further researches which utilizes different types of optimization like Ant Colony Optimization (ACO), ANN’s, Particle Swarm Optimization (PSO) and Imperialist Competitive Algorithm (ICA).…”
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Combined heat and power (CHP) economic dispatch solved using Lagrangian relaxation with surrogate subgradient multiplier updates
Published 2023“…It is also seen that simple step size rules such as the 'square summable but not summable' and 'constant step size' could be used easily and leads the method to convergence. In addition this paper illustrates the ear clipping method used to modify the common nonconvex feasible region of CHP benchmark problems to a convex region which subsequently enhances the search for an optimal solution. …”
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Modified particle swarm optimization for optimum design of retaining wall
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A hybrid SP-QPSO algorithm with parameter free adaptive penalty method for constrained global optimization problems
Published 2018“…The incorporation of adaptive penalty method guides the solutions to the feasible regions of the search space by computing the violation of each one. …”
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An Integrated RRT*SMART-A* Algorithm for solving the Global Path Planning Problem in a Static Environment
Published 2023“…Furthermore, this proposed method's optimality and fast convergence rate are satisfied.…”
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AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT
Published 2023“…Furthermore, this proposed method's optimality and fast convergence rate are satisfied.…”
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AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT
Published 2023“…Furthermore, this proposed method's optimality and fast convergence rate are satisfied.…”
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AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT
Published 2023“…Furthermore, this proposed method's optimality and fast convergence rate are satisfied.…”
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Optimizing the placement of fire department in Kulim using greedy heuristic and simplex method / Muhammad Abu Syah Mohd Suzaly
Published 2023“…The first method is greedy heuristic method. Greedy heuristics is a type of optimization algorithm that makes decisions based on locally optimal solutions. …”
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A Novel Discrete Filled Function Algorithm in Solving Discrete Optimization Problems (S/O: 12408)
Published 2016“…Several global methods have been proposed for solving discrete optimization problems. …”
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Modified quasi-Newton type methods using gradient flow system for solving unconstrained optimization
Published 2016“…We investigate the possible use of control theory, particularly theory on gradient ow system to derive some modified line search and trust region methods for optimization. The implementation of these methods in line search algorithm in their original forms would generate a Newton-type matrix which require inversion of a non-sparse matrix or equivalently solving a linear system in every iteration. …”
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Performance of Levenberg-Marquardt neural network algorithm in air quality forecasting
Published 2022“…Levenberg-Marquardt algorithm and conjugate gradient method are frequently used for optimization in multi-layer perceptron (MLP). …”
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Performance of Levenberg-Marquardt neural network algorithm in air quality forecasting
Published 2022“…Levenberg-Marquardt algorithm and conjugate gradient method are frequently used for optimization in multi-layer perceptron (MLP). …”
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AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT
Published 2023“…Furthermore, this proposed method's optimality and fast convergence rate are satisfied.…”
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AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT
Published 2023“…Furthermore, this proposed method's optimality and fast convergence rate are satisfied.…”
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AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT
Published 2023“…Furthermore, this proposed method's optimality and fast convergence rate are satisfied.…”
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Application of shuffled frog leaping algorithm for economic dispatch with multiple fuel options / Muhammad Akif Abu Bakar
Published 2016“…The proposed method in solving economic dispatch problem combines the evolutionary algorithm with analytical approach is capable in performing much better in directing the search towards the optimal region. …”
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