Hybrid algorithm (constraint satisfaction)
A hybrid algorithm for unrelated parallel machines scheduling Pages 681-702 Download PDF
... new hybrid algorithm based on multi-objective genetic algorithm (MOGA) using simulated annealing (SA) is proposed for scheduling unrelated parallel machines with sequence- dependent setup times, ...
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A New Hybrid Algorithm of Differential Evolution Algorithm and Particle Swarm Algorithm
... evolution algorithm (DE) with lower search efficiency and advance to the local optimal value ...swarm algorithm (PSO)’s advantages of convergence rate, we put forward a new hybrid algorithm ...
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Hybrid Algorithm for Food Recognition, Calorie Estimation & Dietary Enforcement
... Volume 3, Issue 11, Novmber – 2018 International Journal of Innovative Science and Research Technology ISSN No 2456 2165 IJISRT18NV110 www ijisrt com 415 Hybrid Algorithm for Food Recognition, Calorie[.] ...
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Hybrid algorithm for the control of technical objects
... above-mentioned algorithm of the control task solution can be considered as a hybrid ...the hybrid algorithm for the control task ...intelligent hybrid control system, thus providing ...
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A new hybrid algorithm for a nonexpansive mapping
... new hybrid algorithm which is not based on the modification to weak convergence ...proposed algorithm is ...new algorithm could be faster than Nakajo and Takahashi’s algorithm in ...
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Finding collisions for MD4 hash algorithm using hybrid algorithm
... evolutionary algorithm, or by hill climbing, it is necessary to choose a fitness function, whose optimization leads to the message M for which (M, M + ∆M) is ...evolutionary algorithm, hill climbing ...
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Cancer detection & prediction using dual hybrid algorithm
... experimental hybrid algorithm we will overcome the disadvantages that are currently present when computing the prediction with Naïve Bayes ...dual hybrid algorithm is to ensure that there is a ...
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A Hybrid Algorithm for Disease Association Study
... ber of parameters to be tuned. Univariate Marginal Distribution Algorithm (UMDA) presented for the first time by Mühlenbein is one of the simplest algorithms in the EDAs family [7]. The UMDA sorts M individuals by ...
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Improve the Performance of a Complex FMS with a Hybrid Machine Learning Algorithm
... a hybrid machine learning algorithm, inte- grating genetic algorithm and reinforcement learning algorithm, is proposed to cope with the accuracy of a control policy and system optimization ...
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An Efficient Task Scheduling Method In A Cloud Computing Environment Using Firefly Crow Search Algorithm (FF-CSA)
... new hybrid Firefly Crow Search Algorithm (FCSA) algorithm to minimize the makespan of the user requests on the ...proposed hybrid Firefly Crow Search Algorithm (FF-CSA) minimizes the ...
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Entropy Maximization Problem in Network using Dijkstra’s Floyd Warshall Algorithm
... Dijkstra’s algorithm was designed to solve the single source shortest path problem for a static ...a Hybrid algorithm Dijkstra’s - Floyd Warshall algorithm to solve entropy maximization ...
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A hybrid modern and classical algorithm for Indonesian electricity demand forecasting
... a hybrid algorithm model (HAM) with a new technique that could affect the ...single algorithm in a model of electricity demand forecasting based on a hybrid genetic algorithm (modern) ...
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Porosity Calculation of Tight Sand Gas Reservoirs with GA CM Hybrid Optimization Log Interpretation Method
... Genetic Algorithm and the Complex Algorithm together to form the GA-CM Hybrid Algorithm for searching the optimal solution of the objective function, getting the porosity of tight sandstone ...
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The Optimal Power Flow Calculation of Power System Based on the Annealing Algorithm
... SA algorithm to form hybrid SA algorithm. The hybrid algorithm gives full play to the advantages of the two original ...SA algorithm of high computing efficiency greatly improved ...
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Application of Capital Asset Pricing Model in Indian Stock Market
... modified hybrid algorithm is developed to obtain better PAPR reduction performance and reduce computational complexity compared with the conventional hybrid ...proposed algorithm combines ...
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Memetic Algorithm with Hybrid Mutation Operator
... memetic algorithm for feature selection in volumetric data containing spatially distributed clusters of informative features in neuroscience ...initialization hybrid algorithm that supplies more fit ...
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A Hybrid Clustering Approach using Artificial Bee Colony (ABC) and Particle Swarm Optimization
... a hybrid algorithm of combination of Particle Swarm Algorithm (PSO) and Artificial Bee Colony (ABC) Algorithm, simple and robust optimization technique is used in clustering of the benchmark ...
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Hybrid PSOS Algorithm For Continuous Optimization
... new hybrid algorithm for finding the global ...proposed algorithm, some parts of the SOS algorithm is modified to prevent trapping in the local solutions and to in- crease the success ...
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Optimizing and Reconstruction of SAR Images Using Glowworm Swarm Optimization (GSO)
... M.A. Balafar et al.[12], Edge-preserving neighborhood is used to improve an already exist extension for Fuzzy C-Mean (FCM). In the defined neighborhood, a window is centered on the pixel. Then, each sample, in the ...
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OPRCP: approximate nearest neighbor binary search algorithm for hybrid data over WMSN blockchain
... WMSN-based hybrid data query ...binary hybrid approximate nearest neighbor search ...binary hybrid data and construct the query data structure; by preprocessing the dataset, we can obtain a more ...
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