• 제목/요약/키워드: Injection Parallel Genetic Algorithm

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유전알고리즘을 이용한 디젤엔진의 연소최적화 기법에 대한 연구 (An Optimization Technique for Diesel Engine Combustion Using a Micro Genetic Algorithm)

  • 김동광;조남효;차순창;조순호
    • 한국자동차공학회논문집
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    • 제12권3호
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    • pp.51-58
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    • 2004
  • Optimization of engine desist and operation parameters using a genetic algorithm was demonstrated for direct injection diesel engine combustion. A micro genetic algorithm and a modified KIVA-3V code were used for the analysis and optimization of the engine combustion. At each generation of the optimization step the micro genetic algorithm generated five groups of parameter sets, and the five cases of KIVA-3V analysis were to be performed either in series or in parallel. The micro genetic algorithm code was also parallelized by using MPI programming, and a multi-CPU parallel supercomputer was used to speed up the optimization process by four times. An example case for a fixed engine speed was performed with six parameters of intake swirl ratio, compression ratio, fuel injection included angle, injector hole number, SOI, and injection duration. A simultaneous optimization technique for the whole range of engine speeds would be suggested for further studies.

설비 및 품질 데이터 연계 지능형 생산계획 스케줄링 모델 개발을 위한 시스템엔지니어링 접근 방법 (Systems Engineering Approach to Develop Intelligent Production Planning Scheduling Model linked to Machine and Quality Data)

  • 박종희;김진영;홍대근
    • 시스템엔지니어링학술지
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    • 제17권2호
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    • pp.1-8
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    • 2021
  • This study proposes a systems engineering approach for the development of an advanced planning & scheduling (APS) system for a cosmetic case manufacturing factory. The APS system makes production plans and schedules based on the injection process, which consists of 27 plastic injection machines in parallel to control recommended inventory of products. The system uses machine operation/failure information and defective product/work-in-process tracking information to support intelligent scheduling. Furthermore, a genetic algorithm model is applied to handle the complexity of heuristic rules and machine/quality constraints in this process. As a result of the development, the recommended inventory compliance rate is improved by scheduling the 30-day production plan for 15 main products.

주입형 PGA를 이용한 휴머노이드 로봇의 넘어짐 자세 개선 (Improvement of Falling Motions for Humanoid Robot Using Injection PGA)

  • 안광철;조영완;서기성
    • 한국지능시스템학회:학술대회논문집
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    • 한국지능시스템학회 2008년도 춘계학술대회 학술발표회 논문집
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    • pp.343-346
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    • 2008
  • 휴머노이드 로봇이 넘어질 경우, 충격에 의한 손상이 발생할수 있다. 이를 최소화하는 넘어짐 자세의 생성을 위하여 개선된 PGA 기반의 탐색기법을 제안한다. 다목적함수를 고려한 군집 간 이주방식의 효율적 조합을 통해 넘어짐 충격을 최소화하는 각 관절 궤적을 구할수 있도록 하였다. 제안된 기법의 검증을 위하여 Sony QRIO 로봇에 대해서 ODE 기반의 Webots 시뮬레이션을 이용하여 실험을 수행하였다.

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주입-이주형 PGA를 이용한 휴머노이드 로봇의 넘어짐 자세 개선 (Improvement of Falling Motions for Humanoid Robot Using Injection-migration PGA)

  • 안광철;조영완;서기성
    • 제어로봇시스템학회논문지
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    • 제15권3호
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    • pp.280-285
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    • 2009
  • This paper introduced an automatic generation method of falling motions for humanoid robots to minimize a damage. The proposed approach used a PGA based optimization technique to find a set of joint trajectories which minimize a damage of the falling over and down. Injection-migration PGA technique is introduced and compared with EMO and various migration topologies. To verify the proposed method, experiments for falling motions were executed for Sony QRIO robot in Webots simulation environments.

Pilot 규모의 모의 관망에서의 염소 농도 예측 (Prediction of Chlorine Concentration in a Pilot-Scaled Plant Distribution System)

  • 김현준;김상현
    • 상하수도학회지
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    • 제26권6호
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    • pp.861-869
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    • 2012
  • The chlorine's residual concentration prevents the regrowth of microorganism in water transport along the pipeline system. Precise prediction of chlorine concentration is important in determining disinfectant injection for the water distribution system. In this study, a pilot scale water distribution system was designed and fabricated to measure the temporal variation of chlorine concentration for three flow conditions (V = 0.88, 1.33, 1.95 m/s). Various kinetic models were applied to identify the relationship between hydraulic condition and chlorine decay. Genetic Algorithm (GA) was integrated into five kinetic models and time series of chlorine were used to calibrate parameters. Model fitness was compared by Root Mean Square Error (RMSE) between measurement and prediction. Limited first order model and Parallel first order showed good fitness for prediction of chlorine concentration.