Considering the limitation such as premature convergence and low global convergence speed of standard genetic algorithm, human reproduction mode is used for reference and an improved genetic algorithm named adaptive g...
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The selection for hyper-parameters is difficult and important to the performance of Least Squares Support Vector Machines (LS-SVM). The existed parameters selection algorithms, such as the analytical, algebraic techni...
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The proceedings contain 39 papers. The topics discussed include: secure and HVS-adaptive exhibition spread transform dither modulation watermarking for digital cinema;a hierarchical spatially adaptive image model for ...
ISBN:
(纸本)9781424452804
The proceedings contain 39 papers. The topics discussed include: secure and HVS-adaptive exhibition spread transform dither modulation watermarking for digital cinema;a hierarchical spatially adaptive image model for perceptual mask design and multiplicative watermark detection;QIM-DM watermarking optimization based on inter-frequency contrast masking in the DCT domain;a system for forensic analysis of large image sets;on resampling detection in re-compressed images;forensic characterization of RF devices;worst case attacks against binary probabilistic traitor tracing codes;heart sounds quality analysis for automatic cardiac biometry applications;leveraging reliable bits: ECC design considerations for practical secure biometric systems;fast identification algorithms for forensic applications;privacy enhancement of common randomness based authentication: key rate maximized case;and efficient privacy-preserving classification of ECG signals.
Traditional approaches for solving global optimization problems generally rely on a single algorithm. The algorithm may be hybrid or applied in parallel. Contrary to traditional approaches, this paper proposes to form...
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To efficiently tackle materialized view selection problem in designing data warehouse, an efficient view selection algorithm based on particle swarm optimization (PSO) is proposed in this paper. The experimental resul...
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To efficiently tackle materialized view selection problem in designing data warehouse, an efficient view selection algorithm based on particle swarm optimization (PSO) is proposed in this paper. The experimental results demonstrate that the proposed algorithm achieves much better performance than heuristic algorithm and genetic algorithm.
The scheduling of the mixed model assembly line is an important problem in JIT production. The multistage scheduling model of a autovehicle mixed model assembly line is established. The goal of the model is to maintai...
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The scheduling of the mixed model assembly line is an important problem in JIT production. The multistage scheduling model of a autovehicle mixed model assembly line is established. The goal of the model is to maintain the consumption of the parts of components at various working procedures in the production line uniform as much as possible. And the goal is solved by Lingo optimization software. The contrastive analysis indicates that the result obtained by this model surpasses many algorithms, such as goal follows algorithms, genetic algorithm, simulation annealing algorithm, and so on.
This paper presents a new optimization algorithm called modified particle swarm optimization MPSO technique. In order to demonstrate the advantages of this MPSO technique, it is tested using different benchmark functi...
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This paper presents a new optimization algorithm called modified particle swarm optimization MPSO technique. In order to demonstrate the advantages of this MPSO technique, it is tested using different benchmark functions and the results are compared with those obtained using the classical particle swarm optimization PSO algorithm.
Based on evolution theory and multi-agent cooperation mechanism, an Exploring Coevolution Multi-agent System (ECoEMAS) which aims at improving performance of multimodal optimization problems is proposed. Compared with...
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Based on evolution theory and multi-agent cooperation mechanism, an Exploring Coevolution Multi-agent System (ECoEMAS) which aims at improving performance of multimodal optimization problems is proposed. Compared with other search methods, ECoEMAS is based on coevolution idea and several novel operations such as dynamic tasks allocation, asynchronous evolution, dynamic solutions memory and hill-valley exploring. These modifications are tested and showed successfully for both static and dynamic benchmarks. Comparative analysis illustrates ECoEMAS's potential value.
A new kind of exponential inertia weight particle swarm algorithm is presented and the astringency analysis is finished in the paper. The results of application example proved that practical optimization parameters ca...
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A new kind of exponential inertia weight particle swarm algorithm is presented and the astringency analysis is finished in the paper. The results of application example proved that practical optimization parameters can be obtained in limited time by the method, and it is a kind of effective way to solve such kind of problem.
Aiming at the task time sequence constraint and resource constraint multi-project scheduling problem, this paper bases on MMAS algorithm, adopts pseudorandom proportion to select rules in the process of constructing s...
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Aiming at the task time sequence constraint and resource constraint multi-project scheduling problem, this paper bases on MMAS algorithm, adopts pseudorandom proportion to select rules in the process of constructing solutions, and then introduces TS algorithm with 2-opt strategy to further optimize each iterative results. Through presenting the example of project emulation, it indicates that the modified ant algorithm is feasible and has good optimizing function.
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