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Optimal Promotional Effort Control Policy for Segment Specific New Product Growth

7th International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012)

作者： Manik, Prerna Chaudhary, Kuldeep Singh, Yogender Jha, P. C. Univ Delhi Dept Operat Res Delhi 110007 India

ISBN: (纸本)9788132210405

We have incorporated the concept of market segmentation in the mixed influence diffusion model to study the impact of promotional effort on segment specific new product growth, with a view to arrive at the optimal promotional effort rate in a segmented market. evolution of sales rate for each segment is developed under the assumption that practitioner may choose both differentiated market promotional effort and mass market promotional effort to influence the sales in unsaturated portion of the market. Accordingly, we have formulated the optimal control problem incorporating impact of differentiated market promotional effort as well as mass market promotional effort on sales rate for each segment, where mass market promotional effort influences each segment with a fixed spectrum. We have obtained the optimal promotional effort policy for the proposed model. To illustrate the applicability of the approach, a numerical example has been discussed and solved using differential evolution algorithm.

关键词： Differentiated market promotional effort Mass market promotional effort Spectrum effect Promotional effort policy differential evolution algorithm

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The Application of Modified ESN in Chaotic Time Series Prediction

The Application of Modified ESN in Chaotic Time Series Predi...

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第25届中国控制与决策会议

作者： Yong Zhang Yongbing Yu Deming Liu School of Electronic and Information Engineering University of Science and Technology Liaoning School of Graduated University of Science and Technology Liaoning

ISBN: (纸本)9781467355322

The parameters selection of ESN （Echo State Network） is excessively dependent on human experience, it is difficult to produce the corresponding optimal parameters for specific problem, resulting in severely restricted in practice. In view of this, a chaotic time series prediction model is proposed in this paper, and the model is based on differential evolution algorithm and the echo state network. With this model, training the input sample sequence to find the network’s parameters which is suitable for the data characteristics at first, then use the ideal parameters to predict chaotic time series. In the prediction of the typical chaotic time series generated by Lorenz system, this method can establish a suitable echo state network based on the data characteristics effectively, and gets satisfactory results.

关键词： Echo State Network differential evolution algorithm chaotic time series prediction

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Quantum differential evolution algorithm for Variable Ordering Problem of Binary Decision Diagram

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13th International-Computer-Society-of-Iran-Computer Conference

作者： Layeb, Abdesslem Saidouni, Djamel-Eddine Lire Laboratory Infography Group University Mentouri of Constantine Algeria

ISBN: (纸本)9783540899846

This paper presents a new variable ordering method called QDEBDD to reduce the size of Binary Decision Diagram (BDD). The size of BDD is very reliant on the order of function variables. Unfortunately, the search for the best variables ordering has been showed NP-difficult. In this work, the variable ordering problem is cast as an optimization problem for which a new framework relying on quantum computing is proposed. The contribution consists in defining an appropriate quantum representation scheme that allows applying successfully on BDD problem some quantum computing principles. This representation scheme is embedded within a differential evolution algorithm leading to an efficient hybrid framework which achieves better balance between exploration and exploitation capabilities of the search process.

关键词： Quantum Computing BDD differential evolution algorithm

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MRAS BASED REAL-TIME SPEED-SENSORLESS CONTROL OF INDUCTION MOTOR WITH OPTIMIZED FUZZY-PI CONTROLLER

MRAS BASED REAL-TIME SPEED-SENSORLESS CONTROL OF INDUCTION M...

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IEEE International Symposium on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics (SLED/PRECEDE)

作者： Zerdali, Emrah Barut, Murat Nigde Univ Elect & Elect Dept Nigde Turkey

ISBN: (纸本)9781479906802

In this paper, rotor flux-oriented model reference adaptive system (RF-MRAS) based estimators are designed to obtain flux and speed estimations for speed-sensorless control of induction motors (IMs). The proposed RF-MRAS in this work replaces Conventional PI controller (CPI) in adaptation mechanism of RF-MRAS with fuzzy-PI (FPI) controller in order to improve conventional RF-MRAS. Additionally, the gains of both FPI and CPI controllers are optimized by offline via differential evolution algorithm (DEA) to make fair comparisons and without using time-consuming process of trial-and-error method.

关键词： induction machine sensorless control model reference adaptive system fuzzy logic controller differential evolution algorithm

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Benchmarking Capabilities of evolutionary algorithms in Joint Channel Estimation and Turbo Multi-User Detection/Decoding

Benchmarking Capabilities of Evolutionary Algorithms in Join...

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IEEE Congress on evolutionary Computation

作者： Zhang, Jiankang Chen, Sheng Mu, Xiaomin Hanzo, Lajos Zhengzhou Univ Sch Informat Engn Zhengzhou 450001 Peoples R China Univ Southampton Elect Comp Sci Southampton SO17 1BJ Hants England King Abdulaziz Univ Fac Engn Jeddah 21589 Saudi Arabia

ISBN: (纸本)9781479904549;9781479904532

Joint channel estimation (CE) and turbo multiuser detection (MUD)/decoding for space-division multiple-access based orthogonal frequency-division multiplexing communication has to consider both the decision-directed CE optimisation on a continuous search space and the MUD optimisation on a discrete search space, and it iteratively exchanges the estimated channel information and the detected data between the channel estimator and the turbo MUD/decoder to gradually improve the accuracy of both the CE and the MUD. We evaluate the capabilities of a group of evolutionary algorithms (EAs) to achieve optimal or near optimal solutions with affordable complexity in this challenging application. Our study confirms that the EA assisted joint CE and turbo MUD/decoder is capable of approaching both the Cramer-Rao lower bound of the optimal channel estimation and the bit error ratio performance of the idealised optimal turbo maximum likelihood (ML) MUD/decoder associated with the perfect channel state information, respectively, despite only imposing a fraction of the complexity of the idealised turbo ML-MUD/decoder.

关键词： Genetic algorithm repeated weighted boosting search particle swarm optimisation differential evolution algorithm

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An Adaptive Variable Strategy Pareto differential evolution algorithm for Multi-Objective Optimization

An Adaptive Variable Strategy Pareto Differential Evolution ...

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IEEE Congress on evolutionary Computation

作者： Fu, Jian Liu, Qing Zhou, Xinmin Xiang, Kui Zeng, Zhigang Wuhan Univ Technol Sch Automat Wuhan 430070 Hubei Peoples R China

ISBN: (纸本)9781424418220

In the paper, we propose an adaptive variable strategy Pareto differential evolution algorithm for multiobjective optimization (AVSPDE). It is different from the general adaptive DE methods which are regulated by variable parameters and applied in single-objective area. Based on the real-time information from the tournament selection set (TSS), there are two DE variants to switch dynamically during the run, in which one aims at fast convergence and the other focus on the diverse spread. The theoretical analysis and the digital simulation show the presented method can achieved better performance.

关键词： adaptive variable strategy differential evolution algorithm multi-objective optimization

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Optimization of the design and performance of hydrocyclones by differential evolution technique

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CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION 2012年 61卷 1-7页

作者： Silva, D. O. Vieira, L. G. M. Lobato, F. S. Barrozo, M. A. S. Univ Fed Uberlandia Sch Chem Engn BR-38400902 Uberlandia MG Brazil

Several geometries of the hydrocyclones have been proposed in the literature to improve the separation efficiency or reduce the energy costs. In the present paper, a new geometrical configuration of hydrocyclone has been found through the use of response surface technique combined with the differential evolution algorithm. The result obtained with these optimization techniques has been validated by experimental data. The optimized configuration of hydrocyclone presented a high efficiency and a small reduced cut size. (c) 2012 Elsevier B.V. All rights reserved.

关键词： Hydrocyclone Solid-liquid separation differential evolution algorithm

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Optimum antenna configuration in MIMO systems: a differential evolution based approach

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WIRELESS COMMUNICATIONS & MOBILE COMPUTING 2012年第6期12卷 473-480页

作者： Develi, Ibrahim Yazlik, E. Nazife Erciyes Univ Dept Elect & Elect Engn Fac Engn TR-38039 Kayseri Turkey Erciyes Univ Inst Sci & Technol TR-38039 Kayseri Turkey

In this paper, we address the problem of determining the optimum antenna configuration for a multi-input multi-output (MIMO) system at any given signal-to-noise ratio (SNR). We used two-level differential evolution (DE) algorithm that finds both an appropriate expression among a set of candidate expressions within the list of the optimization software used, and the parameter values (coefficients) belonging to the selected expression. The results of the proposed expression are compared with the results of high SNR approximation, asymptotic approach and optimum antenna number ratios. It is shown that the numerical outcomes produced by the new expression exhibit very good agreement with the optimum antenna number ratios, and this agreement is almost independent of the specific value of SNR. Copyright (C) 2010 John Wiley & Sons, Ltd.

关键词： wireless communications multi-input multi-output (MIMO) systems optimization of antenna configuration differential evolution algorithm

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Optimized distance metrics for differential evolution based nearest prototype classifier

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EXPERT SYSTEMS WITH APPLICATIONS 2012年第12期39卷 10564-10570页

作者： Koloseni, David Lampinen, Jouni Luukka, Pasi Lappeenranta Univ Technol Lab Appl Math FI-53851 Lappeenranta Finland Univ Vaasa Dept Comp Sci FI-65101 Vaasa Finland VSB Tech Univ Ostrava Dept Comp Sci Ostrava 70833 Czech Republic

In this article, we introduce a differential evolution based classifier with extension for selecting automatically the applied distance measure from a predefined pool of alternative distances measures to suit optimally for classifying the particular data set at hand. The proposed method extends the earlier differential evolution based nearest prototype classifier by extending the optimization process by optimizing not only the required parameters for distance measures, but also optimizing the selection of the distance measure it self in order to find the best possible distance measure for the particular data set at hand. It has been clear for some time that in classification, usual euclidean distance is often not the best choice, and the optimal distance measure depends on the particular properties of the data sets to be classified. So far solving this issue have been subject to a limited attention in the literature. In cases where some consideration to this is problem is given, there has only been testing with couple distance measure to find which one applies best to the data at hand. In this paper we have attempted to take one step further by applying a systematic global optimization approach for selecting the best distance measure from a set of alternative measures for obtaining the highest classification accuracy for the given data. In particular, we have generated pool of distance measures for the purpose and developed a model on how the differential evolution based classifier can be extended to optimize the selection of the distance measure for given data. The obtained results are demonstrating, and also confirming further on the earlier findings reported in the literature, that often some other distance measure than the most commonly used euclidean distance is the best choice. The selection of distance measure is one of the most important factor for obtaining best classification accuracy, and should thereby be emphasized more in future research. The results a

关键词： Classification Global optimization evolutionary algorithm differential evolution algorithm Distance measures

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Computational Approach Based on a differential evolution with Self-Adaptive Concept for Microwave Imaging of Two-Dimensional Inverse Scattering Problem

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ELECTROMAGNETICS 2012年第8期32卷 451-464页

作者： Chiu, Chien-Ching Sun, Chi-Hsien Natl Taiwan Univ Sci & Technol Dept Elect Engn Taipei Taiwan Tamkang Univ Dept Elect Engn Tamsui 25137 Taipei County Taiwan

The application of four techniques for the shape reconstruction of a metallic cylinder by measured scattered fields is studied in this article. These approaches are applied to two-dimensional configurations. Finite-difference time-domain is employed for the analysis of the forward scattering part, while the inverse scattering problems are transformed into optimization problems. Different differential evolutionary algorithms are applied to reconstruct the location and shape of the two-dimensional metallic cylinder. These techniques have been tested in the case of simulated measurements contaminated by additive white Gaussian noise. The reconstructed results by algorithm with self-adaptive control parameter settings are better than these obtained by the standard differential evolution algorithm and dynamic differential evolution algorithm.

关键词： inverse scattering time domain finite-difference time-domain differential evolution algorithm dynamic differential evolution self-adaptive differential evolution self-adaptive dynamic differential evolution cubic spline

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