• 제목/요약/키워드: Heuristic Function

검색결과 306건 처리시간 0.024초

자가 적응형 메타휴리스틱 최적화 알고리즘 개발: Self-Adaptive Vision Correction Algorithm (Development of Self-Adaptive Meta-Heuristic Optimization Algorithm: Self-Adaptive Vision Correction Algorithm)

  • 이의훈;이호민;최영환;김중훈
    • 한국산학기술학회논문지
    • /
    • 제20권6호
    • /
    • pp.314-321
    • /
    • 2019
  • 본 연구에서 개발된 Self-Adaptive Vision Correction Algorithm (SAVCA)은 광학적 특성을 모방하여 개발된 Vision Correction Algorithm (VCA)의 총 6개의 매개변수 중 자가 적응형태로 구축된 Division Rate 1 (DR1) 및 Division Rate 2 (DR2)를 제외한 Modulation Transfer Function Rate (MR), Astigmatic Rate (AR), Astigmatic Factor (AF) 및 Compression Factor (CF) 등 4개의 매개변수를 변경하여 사용성을 증대시키기 위해 제시되었다. 개발된 SAVCA의 검증을 위해 기존 VCA를 적용하였던 2개 변수를 갖는 수학 문제 (Six hump camel back 및 Easton and fenton) 및 30개 변수를 갖는 수학 문제 (Schwefel 및 Hyper sphere)에 적용한 결과 SAVCA는 비교한 다른 알고리즘 (Harmony Search, Water Cycle Algorithm, VCA, Genetic Algorithms with Floating-point representation, Shuffled Complex Evolution algorithm 및 Modified Shuffled Complex Evolution)에 비해 우수한 성능을 보여주었다. 마지막으로 공학 문제인 Speed reducer design에서도 SAVCA는 가장 좋은 결과를 보여주었다. 복잡한 매개변수 조절과정을 거치지 않은 SAVCA는 여러 분야에서 적용이 가능할 것이다.

다기능 레이더의 임무 스케줄링 및 복수 운용 개념 분석 (Task Scheduling and Multiple Operation Analysis of Multi-Function Radars)

  • 정순조;장대성;최한림;양재훈
    • 한국항공우주학회지
    • /
    • 제42권3호
    • /
    • pp.254-262
    • /
    • 2014
  • 레이더 임무 스케줄링은 제한된 자원 환경에서 레이더의 성능을 향상시키기 위해 효과적으로 임무 배치를 하는 것이다. 본 논문에서는 다기능 레이더의 복수 운용 시의 스케줄링 성능 평가를 위해 총 지연 시간의 합을 목적함수로 정의하고, 실시간성을 고려한 휴리스틱 접근법을 제시한다. 제안된 스케줄링 기법들을 일반적인 임무 시뮬레이션 환경에서 비교 분석하였으며, 특히, 다기능 레이더의 복수 운용에서의 스케줄링 성능을 분석한다.

An Efficient Service Function Chains Orchestration Algorithm for Mobile Edge Computing

  • Wang, Xiulei;Xu, Bo;Jin, Fenglin
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제15권12호
    • /
    • pp.4364-4384
    • /
    • 2021
  • The dynamic network state and the mobility of the terminals make the service function chain (SFC) orchestration mechanisms based on static and deterministic assumptions hard to be applied in SDN/NFV mobile edge computing networks. Designing dynamic and online SFC orchestration mechanism can greatly improve the execution efficiency of compute-intensive and resource-hungry applications in mobile edge computing networks. In order to increase the overall profit of service provider and reduce the resource cost, the system running time is divided into a sequence of time slots and a dynamic orchestration scheme based on an improved column generation algorithm is proposed in each slot. Firstly, the SFC dynamic orchestration problem is formulated as an integer linear programming (ILP) model based on layered graph. Then, in order to reduce the computation costs, a column generation model is used to simplify the ILP model. Finally, a two-stage heuristic algorithm based on greedy strategy is proposed. Four metrics are defined and the performance of the proposed algorithm is evaluated based on simulation. The results show that our proposal significantly provides more than 30% reduction of run time and about 12% improvement in service deployment success ratio compared to the Viterbi algorithm based mechanism.

A Modified Enskog-Like Equation of Self-Diffusion Coefficients for Penetrable-Sphere Model Fluids

  • Suh, Soong-Hyuck;Liu, Hong-Lai
    • Bulletin of the Korean Chemical Society
    • /
    • 제32권4호
    • /
    • pp.1336-1340
    • /
    • 2011
  • Molecular dynamics simulations have been performed to investigate the transport properties of self-diffusion coefficients in the penetrable-sphere model system. The resulting simulation data for the product of the packing fraction and the self-diffusion coefficient exhibit a transition from an increasing function of density in lower repulsive systems, where the soft-type collisions are dominant, to a decreasing function in higher repulsive systems, where most particle collisions are the hard-type reflections due to the low-penetrability effects. A modified Enskog-like equation implemented by the effective packing fraction with the mean-field energy correction is also proposed, and this heuristic approximation yields a reasonably good result even in systems of high densities and high repulsive energy barriers.

초기설치비를 고려한 의존적 k-out-of-n:G 시스템의 보전정책 결정 (A Maintenance Policy Determination of Dependent k-out-of-n:G System with Setup Cost)

  • 조성훈;안동규;성혁제;신현재
    • 한국안전학회지
    • /
    • 제14권2호
    • /
    • pp.155-162
    • /
    • 1999
  • reliability from components reliability. In this case, it assumes that components failure is mutually independent, but it may not true in real systems. In this study, the mean cost per unit time is computed as the ratio of mean life to the mean cost. The mean life is obtained by the reliability function under power rule model. The mean cost is obtained by the mathematical model based on the inspection interval. A heuristic method is proposed to determine the optimal number of redundant units and the optimal inspection interval to minimize the mean cost per unit time. The assumptions of this study are as following : First, in the load-sharing k-out-of-n:G system, total loads are applied to the system and shared by the operating components. Secondly, the number of failed components affects the failure rate of surviving components as a function of the total load applied. Finally, the relation between the load and the failure rate of surviving components is set by the power rule model. For the practical application of the above methods, numerical examples are presented.

  • PDF

병합연료비함수를 이용한 경제급전 알고리즘 개발 (Function Merger Algorithm for Economic Dispatch)

  • 민경일;하상현;이수원;문영현
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2007년도 추계학술대회 논문집 전력기술부문
    • /
    • pp.115-117
    • /
    • 2007
  • This paper presents a new systematic approach to find a global solution to economic dispatch (ED) with multiple fuel units using a function merger (FM). Currently, no systematic approach has been developed to find a global solution to economic dispatch with multiple fuel units. Various heuristic methods have been proposed, however it is almost impossible to guarantee a global solution by those methods yet. The proposed method uses the FM and $\lambda$-P functions. A FM merges several fuel cost functions into one that satisfies the optimal conditions of an ED. The FM procedures are described in detail with illustrative examples.

  • PDF

타부서치를 이용한 2차원 직사각 적재문제에 관한 연구 (Applying a Tabu Search Approach for Solving the Two-Dimensional Bin Packing Problem)

  • 이상헌;이정민
    • 경영과학
    • /
    • 제22권1호
    • /
    • pp.167-178
    • /
    • 2005
  • The 2DBPP(Two-Dimensional Bin Packing Problem) is a problem of packing each item into a bin so that no two items overlap and the number of required bins is minimized under the set of rectangular items which may not be rotated and an unlimited number of identical .rectangular bins. The 2DBPP is strongly NP-hard and finds many practical applications in industry. In this paper we discuss a tabu search approach which includes tabu list, intensifying and diversification Strategies. The HNFDH(Hybrid Next Fit Decreasing Height) algorithm is used as an internal algorithm. We find that use of the proper parameter and function such as maximum number of tabu list and space utilization function yields a good solution in a reduced time. We present a tabu search algorithm and its performance through extensive computational experiments.

저전력 소모 조합 회로의 설계를 위한 효율적인 알고리듬 (An efficient algorithm for the design of combinational circuits with low power consumption)

  • 김형;최익성;서동욱;허훈;황선영
    • 한국통신학회논문지
    • /
    • 제21권5호
    • /
    • pp.1221-1229
    • /
    • 1996
  • This paper proposes a heuristic algorithm for low power implementation of combinational circuits. Selecting an input variable for a given function, the proposed algorithm performs Shannon exansion with respect to the variable to reduce the number of gates in the subcircuit realizing the coffactor function, reducting the power dissipation of the implemented circuit. experimental results for the MCNC benchmarks show that the proposed algorithm is effective by generating the circuits consuming the power 48.9% less on the average, when compared to the previous algorithm based on precomputation logic.

  • PDF

An Improved Harmony Search Algorithm and Its Application in Function Optimization

  • Tian, Zhongda;Zhang, Chao
    • Journal of Information Processing Systems
    • /
    • 제14권5호
    • /
    • pp.1237-1253
    • /
    • 2018
  • Harmony search algorithm is an emerging meta-heuristic optimization algorithm, which is inspired by the music improvisation process and can solve different optimization problems. In order to further improve the performance of the algorithm, this paper proposes an improved harmony search algorithm. Key parameters including harmonic memory consideration (HMCR), pitch adjustment rate (PAR), and bandwidth (BW) are optimized as the number of iterations increases. Meanwhile, referring to the genetic algorithm, an improved method to generate a new crossover solutions rather than the traditional mechanism of improvisation. Four complex function optimization and pressure vessel optimization problems were simulated using the optimization algorithm of standard harmony search algorithm, improved harmony search algorithm and exploratory harmony search algorithm. The simulation results show that the algorithm improves the ability to find global search and evolutionary speed. Optimization effect simulation results are satisfactory.

다품종(多品種) 연속점검(連續點檢) 재고관리(在庫管理)모델의 최적해법(最適解法) (Approximate Decision Rules for Multi-Item Continuous Review Inventory Model)

  • 강동진;이상용
    • 품질경영학회지
    • /
    • 제13권1호
    • /
    • pp.56-64
    • /
    • 1985
  • This paper presents a general algorithm of multi-item continuous review models to obtain simultaneous solutions for ordering quantities and reorder points for each item in an inventory, while satisfying constraints on average inventory investment and reordering workload. Two models are formulated'in each model the heuristic method is utilized, and the partial back-logging is considered. In the first model, the objective function is the minimization of total inventory variable cost. In the second model, the objective function is the minimization of total time-weighted shortages, and the ordering, holding, and stockout costs in this model are independent each other. A numerical example is also solved to present application of each model.

  • PDF