• Title/Summary/Keyword: optimization scheme

Search Result 1,157, Processing Time 0.031 seconds

APPLYING ELITIST GENETIC ALGORITHM TO RESOURCE-CONSTRAINED PROJECT SCHEDULING PROBLEM

  • Jin-Lee Kim;Ok-Kyue Kim
    • International conference on construction engineering and project management
    • /
    • 2007.03a
    • /
    • pp.739-748
    • /
    • 2007
  • The objective of this research study is to develop the permutation-based genetic algorithm for solving the resource-constrained project scheduling problem in construction engineering by incorporating elitism into genetic algorithm. A key aspect of the algorithm was the development of the elitist roulette selection operator to preserve the best individual solution for the next generation so the improved solution can be obtained. Another notable characteristic is the application of the parallel schedule generation scheme to generate a feasible solution to the problem. Case studies with a standard test problem were presented to demonstrate the performance and accuracy of the algorithm. The computational results indicate that the proposed algorithm produces reasonably good solutions for the resource-constrained project scheduling problem.

  • PDF

A Scheme for Route Optimization in 6LoWPAN based MANEMO Environments (6LoWPAN 기반 MANEMO 환경에서 경로 최적화 기법)

  • Kim, Jin Ho;Hong, Choong Seon
    • Annual Conference of KIPS
    • /
    • 2009.04a
    • /
    • pp.1271-1273
    • /
    • 2009
  • 6LoWPAN 단위의 네트워크 이동성을 지원하는 6LoWPAN Mobile Router 들이 중첩된 네트워크를 형성하였을 때, 6LoWPAN 노드와 CN 간의 통신을 할 경우 패킷 전달을 위한 경로 최적화가 이루어지지 않는다. 특히 NEMO 프로토콜이 적용된 6LoWPAN 네트워크의 중첩된 레벨이 증가하는 경우 패킷 전달을 위한 루트가 더욱 복잡해지고 오버헤드가 커지는 문제가 발생한다. 따라서, 본 논문에서는 MANEMO 기술을 6LoWPAN 환경에 맞게 적용하여 중첩된 6LoWPAN 네트워크를 형성하지 않고 6LoWPAN Mobile Router 간에 Ad-hoc 네트워크를 형성하여 직접적인 통신이 가능하도록 네트워크를 구성함으로써 NEMO 환경에서의 터널링 오버 헤드 문제를 줄이고 통신 경로를 최적화하여 패킷 전송 지연을 최소화할 수 있는 방안을 제시한다.

System Development and IC Implementation of High-performance Image Downscaler using Phase-correction Digital Filters (위상 교정 디지털 필터를 이용한 고성능/고화질 이미지 축소기 시스템 개발 및 IC 구현)

  • Lee, Y.;O. Moon;Lee, H.;Lee, B.;B. Kang;C. Hong
    • Proceedings of the Korea Institute of Convergence Signal Processing
    • /
    • 2000.08a
    • /
    • pp.265-268
    • /
    • 2000
  • In this paper, we propose an algorithm, an optimized architecture, and an implementation for an improved performance of image downscaler. The proposed downscaler uses two-dimensional digital filters for horizontal and vertical scalings, respectively. It also improves scaling precisions and decreases the loss of data, compared with the 1/32 scaler 〔1〕. In order to achieve the optimization, the digital filters are implemented by the multiplexer -adder type scheme 〔2〕. The scaler is designed by using the Verilog-HDL. It is synthesized into gates by using the Samsung 0.35 um STD90 TLM library.

  • PDF

A Route Optimization Scheme in PMIPv6 (PMIPv6에서의 경로 최적화 기법)

  • Jang, Yoon-Chang;Shon, Min-Han;Choo, Hyun-Seung
    • Annual Conference of KIPS
    • /
    • 2011.04a
    • /
    • pp.594-596
    • /
    • 2011
  • PMIPv6 (Proxy Mobile IPv6)은 MN (Mobile Node)를 대신하여 액세스 망에서 MN의 이동성을 지원하는 네트워크 기반의 이동성 관리 프로토콜이다. 기존의 PMIPv6는 MN과 Corespondent Node (CN) 간 통신을 할 때, 교환하는 데이터 패킷은 LMA (Local Mobility Anchor)를 경유하고 MAG (Mobile Access Gateway)를 경유해서 전송하기 때문에 시그널링 코스트가 증가하고 전송 지연 문제가 발생한다. 따라서 본 논문은 MN이 도메인 내 핸드오버를 했을 시, LMA에서 MAG를 경유하지 않는 경로 최적화를 제시한다.

Task Scheduling and Resource Management Strategy for Edge Cloud Computing Using Improved Genetic Algorithm

  • Xiuye Yin;Liyong Chen
    • Journal of Information Processing Systems
    • /
    • v.19 no.4
    • /
    • pp.450-464
    • /
    • 2023
  • To address the problems of large system overhead and low timeliness when dealing with task scheduling in mobile edge cloud computing, a task scheduling and resource management strategy for edge cloud computing based on an improved genetic algorithm was proposed. First, a user task scheduling system model based on edge cloud computing was constructed using the Shannon theorem, including calculation, communication, and network models. In addition, a multi-objective optimization model, including delay and energy consumption, was constructed to minimize the sum of two weights. Finally, the selection, crossover, and mutation operations of the genetic algorithm were improved using the best reservation selection algorithm and normal distribution crossover operator. Furthermore, an improved legacy algorithm was selected to deal with the multi-objective problem and acquire the optimal solution, that is, the best computing task scheduling scheme. The experimental analysis of the proposed strategy based on the MATLAB simulation platform shows that its energy loss does not exceed 50 J, and the time delay is 23.2 ms, which are better than those of other comparison strategies.

Game Theory-Based Scheme for Optimizing Energy and Latency in LEO Satellite-Multi-access Edge Computing

  • Ducsun Lim;Dongkyun Lim
    • International journal of advanced smart convergence
    • /
    • v.13 no.2
    • /
    • pp.7-15
    • /
    • 2024
  • 6G network technology represents the next generation of communications, supporting high-speed connectivity, ultra-low latency, and integration with cutting-edge technologies, such as the Internet of Things (IoT), virtual reality, and autonomous vehicles. These advancements promise to drive transformative changes in digital society. However, as technology progresses, the demand for efficient data transmission and energy management between smart devices and network equipment also intensifies. A significant challenge within 6G networks is the optimization of interactions between satellites and smart devices. This study addresses this issue by introducing a new game theory-based technique aimed at minimizing system-wide energy consumption and latency. The proposed technique reduces the processing load on smart devices and optimizes the offloading decision ratio to effectively utilize the resources of Low-Earth Orbit (LEO) satellites. Simulation results demonstrate that the proposed technique achieves a 30% reduction in energy consumption and a 40% improvement in latency compared to existing methods, thereby significantly enhancing performance.

HALPERN'S ITERATION FOR APPROXIMATING FIXED POINTS OF A NEW CLASS OF ENRICHED NONSPREDING-TYPE MAPPINGS IN HILBERT SPACES WITH APPLICATIONS TO MINIMAX INEQUALITY PROBLEM

  • Imo Kalu Agwu;Godwin Amechi Okeke;Hallowed Oluwadara Olaoluwa;Jong Kyu Kim
    • Nonlinear Functional Analysis and Applications
    • /
    • v.29 no.3
    • /
    • pp.673-710
    • /
    • 2024
  • In this paper, we propose a modified Halpern's iterative scheme developed from a sequence of a new class of enriched nonspreading mappings and an enriched nonexpansive mapping in the setup of a real Hilbert space. Moreover, we prove strong convergence theorem of the proposed method under mild conditions on the control parameters. Also, we obtain some basic properties of our new class of enriched nonspreading mappings.

Dual Codec Based Joint Bit Rate Control Scheme for Terrestrial Stereoscopic 3DTV Broadcast (지상파 스테레오스코픽 3DTV 방송을 위한 이종 부호화기 기반 합동 비트율 제어 연구)

  • Chang, Yong-Jun;Kim, Mun-Churl
    • Journal of Broadcast Engineering
    • /
    • v.16 no.2
    • /
    • pp.216-225
    • /
    • 2011
  • Following the proliferation of three-dimensional video contents and displays, many terrestrial broadcasting companies have been preparing for stereoscopic 3DTV service. In terrestrial stereoscopic broadcast, it is a difficult task to code and transmit two video sequences while sustaining as high quality as 2DTV broadcast due to the limited bandwidth defined by the existing digital TV standards such as ATSC. Thus, a terrestrial 3DTV broadcasting with a heterogeneous video codec system, where the left image and right images are based on MPEG-2 and H.264/AVC, respectively, is considered in order to achieve both high quality broadcasting service and compatibility for the existing 2DTV viewers. Without significant change in the current terrestrial broadcasting systems, we propose a joint rate control scheme for stereoscopic 3DTV service based on the heterogeneous dual codec systems. The proposed joint rate control scheme applies to the MPEG-2 encoder a quadratic rate-quantization model which is adopted in the H.264/AVC. Then the controller is designed for the sum of the left and right bitstreams to meet the bandwidth requirement of broadcasting standards while the sum of image distortions is minimized by adjusting quantization parameter obtained from the proposed optimization scheme. Besides, we consider a condition on maintaining quality difference between the left and right images around a desired level in the optimization in order to mitigate negative effects on human visual system. Experimental results demonstrate that the proposed bit rate control scheme outperforms the rate control method where each video coding standard uses its own bit rate control algorithm independently in terms of the increase in PSNR by 2.02%, the decrease in the average absolute quality difference by 77.6% and the reduction in the variance of the quality difference by 74.38%.

A Secure Route Optimization Mechanism for Mobile VPN users in Foreign Networks (모바일 VPN 사용자를 위한 보안 강화 경로 최적화 방안)

  • Kim, Kyoung-Min;Byun, Hae-Sun;Lee, Mee-Jeong
    • Journal of KIISE:Information Networking
    • /
    • v.34 no.5
    • /
    • pp.348-359
    • /
    • 2007
  • The conventional mobile VPN services assumed the mobile communications occur between the MN in foreign networks and the CN in the home network. However, if a MN wants to communicate with another MN in a foreign network, it could degrade the performance of the mobile VPN service because of the triangular routing problem. In this paper, we propose a route optimization mechanism based on the mobile VPN using an x-HA allocated by diameter MIP in order to support the efficient communication between the mobile VPN users in foreign networks. The i-HA maintains the VPN-TIA as well as the x-HoA as the CoAs to solve the security problem and to provide an efficient route optimization simultaneously. Moreover, we proposed revised IPSec tunnel configuration to reduce the IPSec tunnel overheads at a MN when the MN communicates with several MNs in the foreign networks at the same time. The VPN server, a security management entity in the home network, notifies an additional IPSec tunnel establishment between the x-HAs where the communication peers are registered. The simulation result showed that the proposed scheme decreases the end-to-end packet delay time and improves the throughput after the handoff compared to the existing mechanism.

Uncertainty Assessment of Single Event Rainfall-Runoff Model Using Bayesian Model (Bayesian 모형을 이용한 단일사상 강우-유출 모형의 불확실성 분석)

  • Kwon, Hyun-Han;Kim, Jang-Gyeong;Lee, Jong-Seok;Na, Bong-Kil
    • Journal of Korea Water Resources Association
    • /
    • v.45 no.5
    • /
    • pp.505-516
    • /
    • 2012
  • The study applies a hydrologic simulation model, HEC-1 developed by Hydrologic Engineering Center to Daecheong dam watershed for modeling hourly inflows of Daecheong dam. Although the HEC-1 model provides an automatic optimization technique for some of the parameters, the built-in optimization model is not sufficient in estimating reliable parameters. In particular, the optimization model often fails to estimate the parameters when a large number of parameters exist. In this regard, a main objective of this study is to develop Bayesian Markov Chain Monte Carlo simulation based HEC-1 model (BHEC-1). The Clark IUH method for transformation of precipitation excess to runoff and the soil conservation service runoff curve method for abstractions were used in Bayesian Monte Carlo simulation. Simulations of runoff at the Daecheong station in the HEC-1 model under Bayesian optimization scheme allow the posterior probability distributions of the hydrograph thus providing uncertainties in rainfall-runoff process. The proposed model showed a powerful performance in terms of estimating model parameters and deriving full uncertainties so that the model can be applied to various hydrologic problems such as frequency curve derivation, dam risk analysis and climate change study.