• Title/Summary/Keyword: Evolutionary Technique

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Topology Optimization of a Vehicle's Hood Considering Static Stiffness (자동차 후드의 정강성을 고려한 위상 최적화)

  • Han, Seog-Young;Choi, Sang-Hyuk;Park, Jae-Yong;Hwang, Joon-Seong;Kim, Min-Sue
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.16 no.1
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    • pp.69-74
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    • 2007
  • Topology optimization of the inner reinforcement for a vehicle's hood has been performed by evolutionary structural optimization(ESO) using a smoothing scheme. The purpose of this study is to obtain optimal topology of the inner reinforcement for a vehicle's hood considering the static stiffness of bending and torsion simultaneously. To do this, the multiobjective optimization technique was implemented. Optimal topologies were obtained by the ESO method. From several combinations of weighting factors, a Pareto-optimal solution was obtained. Also, a smoothing scheme was implemented to suppress the checkerboard pattern in the procedure of topology optimization. It is concluded that ESO method with a smoothing scheme is effectively applied to topology optimization of the inner reinforcement of a vehicle's hood considering the static stiffness of bending and torsion.

Design of a Rule Based Controller using Genetic Programming and Its Application to Fuzzy Logic Controller (유전 프로그래밍을 이용한 규칙 기반 제어기의 설계와 퍼지로직 제어기로의 응용)

  • 정일권;이주장
    • Journal of Institute of Control, Robotics and Systems
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    • v.4 no.5
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    • pp.624-629
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    • 1998
  • Evolutionary computation techniques can solve search problems using simulated evolution based on the ‘survival of the fittest’. Recently, the genetic programming (GP) which evolves computer programs using the genetic algorithm was introduced. In this paper, the genetic programming technique is used in order to design a rule based controller consisting of condition-action rules for an unknown system. No a priori knowledge about the structure of the controller is needed. Representation of a solution, functions and terminals in GP are analyzed, and a method of constructing a fuzzy logic controller using the obtained rule based controller is described. A simulation example using a nonlinear system shows the validity and efficiency of the proposed method.

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Evolutionary Generation Based Color Detection Technique for Object Identification in Degraded Robot Vision (저하된 로봇 비전에서의 물체 인식을 위한 진화적 생성 기반의 컬러 검출 기법)

  • Kim, Kyoungtae;Seo, Kisung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.7
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    • pp.1040-1046
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    • 2015
  • This paper introduces GP(Genetic Programming) based color detection model for an object detection of humanoid robot vision. Existing color detection methods have used linear/nonlinear transformation of RGB color-model. However, most of cases have difficulties to classify colors satisfactory because of interference of among color channels and susceptibility for illumination variation. Especially, they are outstanding in degraded images from robot vision. To solve these problems, we propose illumination robust and non-parametric multi-colors detection model using evolution of GP. The proposed method is compared to the existing color-models for various environments in robot vision for real humanoid Nao.

Hybrid Differential Evolution Technique for Economic Dispatch Problems

  • Jayabarathi, T.;Ramesh, V.;Kothari, D. P.;Pavan, Kusuma;Thumbi, Mithun
    • Journal of Electrical Engineering and Technology
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    • v.3 no.4
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    • pp.476-483
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    • 2008
  • This paper is aimed at presenting techniques of hybrid differential evolution for solving various kinds of Economic Dispatch(ED) problems such as those including prohibited zones, emission dispatch, multiple fuels, and multiple areas. The results obtained for typical problems are compared with those obtained by other techniques such as Particle Swarm Optimization(PSO) and Classical Evolutionary Programming(CEP) techniques. The comparison of the results proves that hybrid differential evolution is quite favorable for solving ED problems with no restrictions on the shapes of the input-output functions of the generator.

Opposition Based Differential Evolution Algorithm for Capacitor Placement on Radial Distribution System

  • Muthukumar, R.;Thanushkodi, K.
    • Journal of Electrical Engineering and Technology
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    • v.9 no.1
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    • pp.45-51
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    • 2014
  • Distribution system is a critical link between customer and utility. The control of power loss is the main factor which decides the performance of the distribution system. There are two methods such as (i) distribution system reconfiguration and (ii) inclusion of capacitor banks, used for controlling the real power loss. Considering the improvement in voltage profile with the power loss reduction, later method produces better performance than former method. This paper presents an advanced evolutionary algorithm for capacitor inclusion for loss reduction. The conventional sensitivity analysis is used to find the optimal location for the capacitors. In order to achieve a better approximation for the current candidate solution, Opposition based Differential Evolution (ODE) is introduced. The effectiveness of the proposed technique is validated through 10, 33, 34 and85-bus radial distribution systems.

Design Technique of SR Machine for Hydraulic Pump System using Combined CAD and Genetic Algorithm (유전자 알고리즘과 상용 설계도구를 이용한 유압 펌프 시스템용 SRM 설계기법)

  • Ahn, Jin-Woo;Lee, Dong-Hee;Kim, Tae-Hyoung
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.55 no.7
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    • pp.369-373
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    • 2006
  • In this paper, an optimal method for determining design parameters of a Switched Reluctance Motor is researched. The dominant design parameters are stator and rotor pole arc and switching on and off angle. The parameters affecting performance are examined and selected using evolutionary computations and commercial CAD program. The simulated design method is compared with conventional procedure.

A Visualization of the Propane/Air Premixed Flame Interacting with an Ultrasonic Standing-wave by Schlieren Photography (정상초음파가 개재하는 프로판/공기 예혼합화염의 슐리렌기법에 의한 가시화)

  • Lee, Sang Shin;Kim, Jeong Soo;Lee, Do Hyong
    • Journal of the Korean Society of Visualization
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    • v.11 no.1
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    • pp.22-27
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    • 2013
  • An investigation into the influence of ultrasonic standing wave on the structural behavior of propane/air premixed flame has been made to get a clue to the combustion reaction acceleration and combustion instability. Visualization technique utilizing the Schlieren photography was employed for the observation of structural variation of the flame reaction zone. Evolutionary characteristics of the flame front were caught by the high-speed Schlieren image, through which local flame velocity of the moving front were analyzed in detail.

Integrated Roil-Pitch-Yaw Autopilot Design for Missiles

  • Kim, Yoon-Hwan;Won, Dae-Yeon;Kim, Tae-Hun;Tahk, Min-Jea;Jun, Byung-Eul;Lee, Jin-Ik;An, Jo-Young
    • International Journal of Aeronautical and Space Sciences
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    • v.9 no.1
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    • pp.129-136
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    • 2008
  • An roll-pitch-yaw integrated autopilot for missiles is designed for compensation of dynamics coupling. The proposed autopilot is based on the classical control technique. The gains of the proposed autopilot are optimized by using co-evolutionary augmented Lagrangian method(CEALM). Several cost functions are compared in order to find feasible control gains. For a case that a bank angle of missiles is unknown, multiple models are used in the autopilot optimization. In nonlinear simulations as well as linear simulations, the proposed autopilot provided good performances.

Partial Transmit Sequence Optimization Using Improved Harmony Search Algorithm for PAPR Reduction in OFDM

  • Singh, Mangal;Patra, Sarat Kumar
    • ETRI Journal
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    • v.39 no.6
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    • pp.782-793
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    • 2017
  • This paper considers the use of the Partial Transmit Sequence (PTS) technique to reduce the Peak-to-Average Power Ratio (PAPR) of an Orthogonal Frequency Division Multiplexing signal in wireless communication systems. Search complexity is very high in the traditional PTS scheme because it involves an extensive random search over all combinations of allowed phase vectors, and it increases exponentially with the number of phase vectors. In this paper, a suboptimal metaheuristic algorithm for phase optimization based on an improved harmony search (IHS) is applied to explore the optimal combination of phase vectors that provides improved performance compared with existing evolutionary algorithms such as the harmony search algorithm and firefly algorithm. IHS enhances the accuracy and convergence rate of the conventional algorithms with very few parameters to adjust. Simulation results show that an improved harmony search-based PTS algorithm can achieve a significant reduction in PAPR using a simple network structure compared with conventional algorithms.

Genetic algorithm in mix proportion design of recycled aggregate concrete

  • Park, W.J.;Noguchi, T.;Lee, H.S.
    • Computers and Concrete
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    • v.11 no.3
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    • pp.183-199
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    • 2013
  • To select a most desired mix proportion that meets required performances according to the quality of recycled aggregate, a large number of experimental works must be carried out. This paper proposed a new design method for the mix proportion of recycled aggregate concrete to reduce the number of trial mixes. Genetic algorithm is adapted for the method, which has been an optimization technique to solve the multi-criteria problem through the simulated biological evolutionary process. Fitness functions for the required properties of concrete such as slump, density, strength, elastic modulus, carbonation resistance, price and carbon dioxide emission were developed based on statistical analysis on conventional data or adapted from various early studies. Then these fitness functions were applied in the genetic algorithm. As a result, several optimum mix proportions for recycled aggregate concrete that meets required performances were obtained.