• Title/Summary/Keyword: Evolution strategy

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The Analysis Method of Integrated Logistic System using Evolution Strategies and Data Envelopment Analysis (진화전략과 DEA를 이용한 통합 물류 시스템 분석 방법)

  • Um In-Sup;Lee Hong-Chul;Kang Jeong-Yun
    • Journal of the Korea Society for Simulation
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    • v.13 no.4
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    • pp.17-29
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    • 2004
  • The focus of this study is to represent a methodology of analysis for integrated logistic system by means of the Evolution Strategies and Data Envelopment Analysis(DEA). The integrated logistic system is composed of AS/RS (Automated Storages and Retrieval System), AGVs(Automated Guided Vehicle System) and Conveyor System. We design the simulation alternatives with choosing the qualitative critical factors for the each subsystem. Evolution Strategies is used to optimize the quantitative critical factors and responses of each alternative. DEA is applied to measure the efficiency of the alternatives in order to select the optimal operation efficiency scheme. The method of analysis which combines Evolution Strategies with DEA can be used to analyze the qualitative and quantitative critical factors in the integrated logistic systems.

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Observation of Bargaining Game using Co-evolution between Particle Swarm Optimization and Differential Evolution (입자군집최적화와 차분진화알고리즘 간의 공진화를 활용한 교섭게임 관찰)

  • Lee, Sangwook
    • The Journal of the Korea Contents Association
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    • v.14 no.11
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    • pp.549-557
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    • 2014
  • Recently, analysis of bargaining game using evolutionary computation is essential issues in field of game theory. In this paper, we observe a bargaining game using co-evolution between two heterogenous artificial agents. In oder to model two artificial agents, we use a particle swarm optimization and a differential evolution. We investigate algorithm parameters for the best performance and observe that which strategy is better in the bargaining game under the co-evolution between two heterogenous artificial agents. Experimental simulation results show that particle swarm optimization outperforms differential evolution in the bargaining game.

Energy-Saving Strategy for Green Cognitive Radio Networks with an LTE-Advanced Structure

  • Jin, Shunfu;Ma, Xiaotong;Yue, Wuyi
    • Journal of Communications and Networks
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    • v.18 no.4
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    • pp.610-618
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    • 2016
  • A green cognitive radio network (CRN), characterized by base stations (BSs) that conserve energy during sleep periods, is a promising candidate for realizing more efficient spectrum allocation. To improve the spectrum efficiency and achieve greener communication in wireless applications, we consider CRNs with an long term evolution advanced (LTE-A) structure and propose a novel energy-saving strategy. By establishing a type of preemptive priority queueing model with a single vacation, we capture the stochastic behavior of the proposed strategy. Using the method of matrix geometric solutions, we derive the performance measures in terms of the average latency of secondary user (SU) packets and the energy-saving degree of BSs. Furthermore, we provide numerical results to demonstrate the influence of the sleeping parameter on the system performance. Finally, we compare the Nash equilibrium behavior and social optimization behavior of the proposed strategy to present a pricing policy for SU packets.

Stochastic modelling fatigue crack evolution and optimum maintenance strategy for composite blades of wind turbines

  • Chen, Hua-Peng;Zhang, Chi;Huang, Tian-Li
    • Structural Engineering and Mechanics
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    • v.63 no.6
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    • pp.703-712
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    • 2017
  • The composite blades of offshore wind turbines accumulate structural damage such as fatigue cracking due to harsh operation environments during their service time, leading to premature structural failures. This paper investigates various fatigue crack models for reproducing crack development in composite blades and proposes a stochastic approach to predict fatigue crack evolution and to analyse failure probability for the composite blades. Three typical fatigue models for the propagation of fatigue cracks, i.e., Miner model, Paris model and Reifsnider model, are discussed to reproduce the fatigue crack evolution in composite blades subjected to cyclical loadings. The lifetime probability of fatigue failure of the composite blades is estimated by stochastic deterioration modelling such as gamma process. Based on time-dependent reliability analysis and lifecycle cost analysis, an optimised maintenance policy is determined to make the optimal decision for the composite blades during the service time. A numerical example is employed to investigate the effectiveness of predicting fatigue crack growth, estimating the probability of fatigue failure and evaluating an optimal maintenance policy. The results from the numerical study show that the stochastic gamma process together with the proper fatigue models can provide a useful tool for remaining useful life predictions and optimum maintenance strategies of the composite blades of offshore wind turbines.

A Study on the Value Change of Digital Image According to Digital Technology

  • Choi, Won-Ho;Kim, Chee-Yong
    • Journal of information and communication convergence engineering
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    • v.8 no.5
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    • pp.595-601
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    • 2010
  • The strategy through visual sense is one of the ways that subject builds the outside world and communicates. The visual sense seems higher level of dependence than the other senses and contributes to intercommunication. For this reason, the desire of image dates back to primitive art and visual image(visual media and visual culture) has dialectically developed in the history of mankind. Visual subject, based on perspective of Renaissance, was moved from God to human beings. Andre Bazin's 'la genese automatique' through technical art has epochally changed the paradigm of visual art and visual culture. From primitive art to photo and film, the image, based on visual sense, has reflected human wish, appealed visual desire and led to evolution of image. In the late 20 century, without dialectical evolution of technology and culture, rapidly progressive digital image has changed social and cultural implication over rational strategy of production and distribution and it strengthened authority of image through visual approach of endless desire. The goal of this study is to analyze the value change of digital image developing a new Renaissance through production, reading, communication, and implication of evolution due to digitalized image, which has evolved as object and tool of desire.

The Optimization Of SS-Type Deflection Yoke By Using Genetic Algorithm (유전 알고리즘을 이용한 SS형 편향코일의 형상 최적화)

  • Joo, K.J.;Yoon, I.G.;Kang, B.H.;Joe, M.C.;Hahn, S.Y.;Lee, H.B.
    • Proceedings of the KIEE Conference
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    • 1993.07b
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    • pp.971-973
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    • 1993
  • Deflection Yoke(the following, DY) is the important electric device of CRT which deflects R, G, B beans influencing magnetic field produced by yoke coils. Recently, DY is designed to the saddle/saddle type of coils, being proposed for high-definite and high-efficient CRT. This paper presents the optimization of pin-sectioned saddle coil's shape for minimizing gap between desired and practical deflections of electron beams by using Genetic Algorithm. Evolution Startegy is utilized in this paper, since evolution strategy is a kind of genetic algorithms finding the optimized values by choicing the better generation with comparing the parents and their children. Here, the children are generated by only mutations from the normal random variables. Evolution strategy has shown better powerful converge rate than the other genetic algorithms becuase of using only the mutation-operator.

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All-IP Digital Convergence and Its Effect on the Evolution of the Media Industry (All-IP화 디지털융합 및 미디어산업의 진화 연구)

  • Chung, Suk-Kyun
    • Journal of Information Technology Applications and Management
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    • v.18 no.2
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    • pp.23-38
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    • 2011
  • The advance of All-IP digital convergence is now triggering fundamental changes in the media industry. This article analyzes the evolution of the media industry based on a value chain model, with a special emphasis placed on the impact of digital technology on the structure of media production, distribution, and consumption. As the Internet has evolved into an access channel for all forms of media, the boundaries of the media industry remain unclear and open thus enabling anyone to become a creator of media. Furthermore, the scope of media continues to become more dynamic as competition grows between older and more innovative forms of media. In this light, adapting to innovative technologies and more effectively meeting the needs of customers represent key factors for the continued evolution of the media.

Theoretical study of Sa-sang constitutional medicine in the view of evolution (사상체질의학의 진화론적 고찰)

  • Chi, Sang-Eun;Cho, Hwang-Sung
    • Korean Journal of Oriental Medicine
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    • v.3 no.1
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    • pp.105-118
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    • 1997
  • Through the theoretical study on Sa-sang constitutional medicine from a evolutionary point of view, the result was obtained as follows. 1. The system of Sa-Sim-Sin-Mul(事心身物) in Sa-sang constitutional medicine is similar to the theory of evolution of Teilhard de Chardin. 2. The concept of Yin and Yang in Sa-sang constitutional medicine can be set up by the demand and necessity in the progress of evolution and the time of the differentiation of functions. 3. The Sung-Jung(性情) of each Sa-sang constitution can be explained as the strategy and form for survival. 4. The theory of physiology, pathology and therapy in Sa-sang constitutional medicine can be hypothesized by the evolutionary standards which are related with the thermo-metabolism and hematopoietic-immune system.

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Optimization of the Deflection Yoke Coil for Color Display Tubes

  • Im, Chang-Hwan;Jung, Hyun-Kyo;Jung, Kwang-Sig;Cho, Yoon-Hyoung
    • KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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    • v.11B no.3
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    • pp.81-85
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    • 2001
  • Processes for optimizing the coil shape of deflection yoke are proposed A very accurate and practical winding modeler is developed and volume integral equation method (VIEM) is used for field calculation. Two steps of optimizations are done by using (1+1) evolution strategy. Those are dimensional optimization and pin-position optimization Various techniques are applied for reducing computational time for the optimization.