Proposed evolutionary optimization strategy on data compression
Evolutionary nonnegative matrix factorization for data compression
... facilitate data compression. An evolutionary updat- ing strategy is proposed to solve the NMF problem iteratively based on three sets of updating rules including multiplicative, firefly ...
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Evolutionary design and optimization of Wavelet Transforms for image compression in embedded systems
... lution Strategy aimed at implementation on embedded systems for the evolution of Wavelet Transforms for im- age ...the proposed algorithm cut outs still allow for good results to be achieved, while ...
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Assessment of water resources management strategy under different evolutionary optimization techniques
... In early stages of an evaluation process for constraints problems with enormous decision variables, the -dominance archive techniques (Section 2.1.3) tend to maintain only the non- dominated solutions in the dominance ...
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Improved Portfolio Optimization Combining Multiobjective Evolutionary Computing Algorithm and Prediction Strategy
... portfolio optimization model and the Markowitz mean- variance model has been evaluated and compared using two performance ...the proposed prediction based portfolio optimization model is capable of ...
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Covariance Matrix Adaptation Evolutionary Strategy Optimization of Patch Antenna for Wireless Communication
... Adaptation Evolutionary Strategy Optimization of Patch Antenna for Wireless Communication Ali ...adaptation evolutionary strategy algorithm is applied to optimize a dielectric loaded ...
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Large-Scale Evolutionary Optimization Using Multi-Layer Strategy Differential Evolution
... 70 5.3.1 Related work Numerous color image quantization techniques have been proposed. Most of these techniques applied clustering method. The clustering defines as the method of finding collections similar or ...
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Optimization of Non-Uniform Circular Arrays with Covariance Matrix Adaptation Evolutionary Strategy
... the proposed cost function is employed to optimize the circular ring ...function proposed in this work, those results can not provide the effective of the ...the proposed cost function is also ...
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Combining data mining and evolutionary computation for multi-criteria optimization of earthworks
... the optimization system a llocated five considerably sma ller t rucks (lowe r capacity, but lo wer fue l consumption and, thus, lowe r operation costs) to fulfil this role ...the proposed optimized solution ...
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Bicluster Analysis of Biomedical Data based on Multi-objective Evolutionary Optimization
... they proposed using two models namely additive coherent and constant wise ...the data matrix are all positive, which is unrealistic for gene expression ...
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Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles
... real-world optimization problems, neither mathematical functions nor numerical simulations are available for evaluating the quality of candidate ...historical data to approximate the objective functions and ...
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Optimization-Based Evolutionary Data Mining Techniques for Structural Health Monitoring
... this evolutionary algorithm was effectively operated in SHM ...various optimization-based biological evolution algorithms exist, including but not limited to artificial immune algorithm, GA, firefly ...
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Evolutionary approaches for portfolio optimization
... The proposed algorithm hybridizes DE and PBIL to explore and exploit the complex and constrained search space of the problem ...elitist strategy to promote the effi- cient convergence of the ...The ...
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A novel two-archive strategy for evolutionary many-objective optimization algorithm based on reference points
... RVEA Figure 5: The parallel coordinates plots of the Pareto set obtained by each algorithm on WFG9 with 8 objectives 4.6.3. The Perspective of Objective Numbers In this subsection, we analyze the performance of ...
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Design and Optimization of Hybrid Electric Vehicle Drivetrain and Control Strategy Parameters Using Evolutionary Algorithms
... this optimization task becomes more challenging due to the presence of conflicting design objectives, ...differentiable data maps [9]. Hence, HEV drivetrain parameter optimization can be treated as a ...
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Decomposition-Based Multiobjective Optimization for Constrained Evolutionary Optimization
... constrained evolutionary optimization during the last two ...multiobjective optimization framework, decomposition- based multiobjective optimization has not received sufficient attention from ...
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Data-Driven Surrogate-Assisted Multi-Objective Evolutionary Optimization of A Trauma System
... Multi-Objective Evolutionary Optimization of A Trauma System Handing Wang, Member, IEEE, Yaochu Jin, Fellow, IEEE, Jan ...on evolutionary optimization assumes that there are analytic functions ...
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Estimation of Evolutionary Optimization Algorithm for Association Rule using Spatial Data Mining
... spatial data is more risk when compared to relational ...hybrid evolutionary algorithm (HEA) [2] which uses particle swarm optimization for spatial association rule mining with ...The proposed ...
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Comparison of Evolutionary Optimization Techniques for Unconstrained
... Algorithm proposed by Atashpazet ...the optimization‟s ergodicity in solution space because they are absolutely random [6]therefore, a slight modification is done in each of the mentioned EAs by employing ...
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Evolutionary Strategy for Feeding Trajectory Optimization of Fed-batch Reactors
... classical evolutionary strategy (ES) and the advanced version of ES that is based on covariance matrix ...Off-line optimization process was carried out in case of different dosing time ...based ...
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Evolutionary Computation, Optimization and Learning Algorithms for Data Science
... unsupervised data sets; all of these operations come together to solve emerging challenging Np-hard problems in engineering and the ...of data sets, particularly Big Data, are available to work ...
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