A Lagrangian Heuristic Algorithm for an Automobile Distribution Network Optimization Problem

2014 ◽  
Vol 8 (6) ◽  
pp. 2991-2995 ◽  
Author(s):  
Zaili Lin
Keyword(s):  
Heuristic Algorithm ◽  
Network Optimization ◽  
Optimization Problem ◽  
Distribution Network ◽  
Lagrangian Heuristic

A distribution network optimization problem for third party logistics service providers

2011 ◽  
Vol 38 (10) ◽  
pp. 12730-12738 ◽  
Author(s):  
Hüseyin Başligil ◽  
Selin Soner Kara ◽  
Pelin Alcan ◽  
Betül Özkan ◽  
E. Gözde Çağlar
Keyword(s):  
Network Optimization ◽  
Optimization Problem ◽  
Service Providers ◽  
Distribution Network ◽  
Third Party ◽  
Third Party Logistics ◽  
Logistics Service ◽  
Logistics Service Providers

Reactive Power Optimization with Chaotic Firefly Algorithm and Particle Swarm Optimization in A Distribution Subsystem Network

2016 ◽  
Vol 12 (1) ◽  
pp. 71-78
Author(s):  
Hamza Yapıcı ◽  
Nurettin Çetinkaya
Keyword(s):  
Particle Swarm Optimization ◽  
Firefly Algorithm ◽  
Optimization Problem ◽  
Reactive Power ◽  
Power Optimization ◽  
Distribution Network ◽  
Reactive Power Optimization ◽  
Power Losses ◽  
Swarm Optimization ◽  
Real Distribution

In this paper the minimization of power losses in a real distribution network have been described by solving reactive power optimization problem. The optimization has been performed and tested on Konya Eregli Distribution Network in Turkey, a section of Turkish electric distribution network managed by MEDAŞ (Meram Electricity Distribution Corporation). The network contains about 9 feeders, 1323 buses (including 0.4 kV, 15.8 kV and 31.5 kV buses) and 1311 transformers. This paper prefers a new Chaotic Firefly Algorithm (CFA) and Particle Swarm Optimization (PSO) for the power loss minimization in a real distribution network. The reactive power optimization problem is concluded with minimum active power losses by the optimal value of reactive power. The formulation contains detailed constraints including voltage limits and capacitor boundary. The simulation has been carried out with real data and results have been compared with Simulated Annealing (SA), standard Genetic Algorithm (SGA) and standard Firefly Algorithm (FA). The proposed method has been found the better results than the other algorithms.

scholarly journals A meta-heuristic algorithm for integrated optimization of dynamic resource allocation planning and production scheduling in parallel machine system

2019 ◽  
Vol 11 (12) ◽  
pp. 168781401989834
Author(s):  
Na Wang ◽  
Yaping Fu ◽  
Hongfeng Wang
Keyword(s):  
Resource Allocation ◽  
Heuristic Algorithm ◽  
Production Scheduling ◽  
Optimization Problem ◽  
Manufacturing System ◽  
Parallel Machine ◽  
Dynamic Resource Allocation ◽  
Integration Problem ◽  
Advanced Information Technology ◽  
Dynamic Resource

With the wide application of advanced information technology and intelligent equipment in the manufacturing system, the decisions of design and operation have become more interdependent and their integration optimization has gained great concerns from the community of operational research recently. This article investigates an optimization problem of integrating dynamic resource allocation and production schedule in a parallel machine environment. A meta-heuristic algorithm, in which heuristic-based partition, genetic-based sampling, promising index calculation, and backtracking strategies are employed, is proposed for solving the investigated integration problem in order to minimize the makespan of the manufacturing system. The experimental results on a set of random-generated test instances indicate that the presented model is effective and the proposed algorithm exhibits the satisfactory performance that outperforms two state-of-the-art algorithms from literature.

Accurate IC current extraction method and power distribution network optimization

2015 ◽  
Vol 57 (9) ◽  
pp. 2175-2182
Author(s):  
Sangho Lim ◽  
Sangho Lee ◽  
Cheaok Ko ◽  
Jongwan Shim ◽  
Jeongnam Cheon
Keyword(s):  
Network Optimization ◽  
Power Distribution ◽  
Extraction Method ◽  
Distribution Network ◽  
Power Distribution Network
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