Search Results - (( parametric estimation tree algorithm ) OR ( a distribution problem algorithm ))*
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1
Parameter estimation and outlier detection in linear functional relationship model / Adilah Abdul Ghapor
Published 2017“…This study begins by proposing a robust technique for estimating the slope parameter in LFRM. In particular, the focus is on the non-parametric estimation of the slope parameter and the robustness of this technique is compared with the maximum likelihood estimation and the Al-Nasser and Ebrahem (2005) method. …”
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2
Software effort estimation using machine learning technique
Published 2023“…In order to better effectively evaluate predictions, this study recommends various machine learning algorithms for estimating, including k-nearest neighbor regression, support vector regression, and decision trees. …”
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Stochastic fractal search algorithm for reconfiguration of distribution networks with distributed generations
Published 2020“…The SFS is a meta-heuristic algorithm inspired by the fractal theory for solving optimization problems. …”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023“…Genetic algorithms are powerful optimizing techniques that are used successfully to solve problems in many different disciplines. …”
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Network reconfiguration and control for loss reduction using genetic algorithm
Published 2010“…The proposed solution to this problem is based on a general combinatorial optimization algorithm known as Genetic Algorithm, and the load flow equations in distribution network. …”
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6
Levy slime mould algorithm for solving numerical and engineering optimization problems
Published 2022“…The proposed Levy Slime Mould Algorithm (LSMA) is a novel metaheuristic algorithm that integrates the Levy distribution into a new metaheuristic called Slime Mould Algorithm (SMA) for solving numerical and engineering problems. …”
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7
Multi-objective service restoration in distribution networks using genetic algorithm
Published 2013“…A proposed algorithm is investigated for radiality checking that is found very efficient in distribution restoration problems. …”
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8
Levy tunicate swarm algorithm for solving numerical and real-world optimization problems
Published 2022“…The proposed Levy Tunicate Swarm Algorithm (LTSA) is a novel metaheuristic algorithm that integrates the Levy distribution into a new metaheuristic algorithm called Tunicate Swarm Algorithm (TSA) to solve numerical and real-world optimization problems. …”
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9
Multi-objective spiral dynamic algorithms-based for a better accuracy and diversity
Published 2019“…Single objective type optimization algorithm can be applied to solve a problem with a single objective. …”
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10
Distributive and self-sustainable scheduling algorithm for wireless sensor networks
Published 2013“…DSSA is a simple, distributed and performance optimal scheduling algorithm and overcomes a variety of slot scheduling problems. …”
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11
Distributive and self-sustainable scheduling algorithm for wireless sensor networks
Published 2013“…DSSA is a simple, distributed and performance optimal scheduling algorithm and overcomes a variety of slot scheduling problems. …”
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12
Distributive and self-sustainable scheduling algorithm for wireless sensor networks
Published 2013“…DSSA is a simple, distributed and performance optimal scheduling algorithm and overcomes a variety of slot scheduling problems. …”
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13
Using Particle Swarm Optimization Algorithm in the Distribution System Planning
Published 2013“…This paper utilizes the Particle Swarm Optimization (PSO) algorithm to solve the distribution planning problem with DG. …”
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Enhancing Market-Based Scheduling Algorithm on Globally Distributed Web Servers Using Least Suitable Sealed Bid Technique
Published 2006“…Scheduling of a multiple distributed servers is considered as a complex problem.considered as NP-complete problem,where no single efficient algorithm guaranteed to produce optimal results.This thesis investigates on how to find optimal solution for distribute system,by implementing market based scheduling Algorithm(MBSA).On implementing the MBSA, a new auction technique which is the least suitable sealed bid auction will be introduced.it is found that least suitable sealed bid technique will give the close-to-optimum solution.In the implementation, cooperative agents were used as a middleware between web servers and stand-alone schedulers. …”
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15
Using particle swarm optimization algorithm in the distribution system planning
Published 2013“…This paper utilizes the Particle Swarm Optimization (PSO) algorithm to solve the distribution planning problem with DG. …”
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16
Optimal power flow based on fuzzy linear programming and modified Jaya algorithms
Published 2017“…Secondly, the application and modification of a Jaya algorithm to deal with different OPF problems is presented. …”
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17
Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation
Published 2022“…Finally, a crowding distance and non-dominated-sorting-based multi-objective hybrid firefly & particle swarm optimization (MOHFPSO) algorithm is designed for MOOPF problems. …”
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18
Solving the vehicle routing problem with stochastic demands via hybrid genetic algorithm-tabu search
Published 2008“…This study considers a version of the stochastic vehicle routing problem where customer demands are random variables with known probability distribution. …”
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Novel distributed algorithm for coalition formation for enhanced spectrum sensing in cognitive radio networks
Published 2017“…In the proposed model, we extend the stable matching problem to propose a novel algorithm to form coalitions of varying sizes for improving the utility of cognitive radios (false alarm and throughput). …”
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A firefly algorithm based hybrid method for structural topology optimization
Published 2020“…In this paper, a firefly algorithm based hybrid algorithm through retaining global convergence of firefly algorithm and ability to generate connected topologies of optimality criteria (OC) method is proposed as an alternative method to solve stress-based topology optimization problems. …”
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