scholarly journals Cat Swarm Optimization for Single Stage Supply Chain Distribution System with Fixed Charges

2014 ◽  
Vol 4 (2) ◽  
pp. 687-691
Author(s):  
Manimaran P ◽  
◽  
Selladurai V ◽  
Keyword(s):  
Supply Chain ◽  
Distribution System ◽  
Single Stage ◽  
Swarm Optimization ◽  
Cat Swarm Optimization ◽  
Fixed Charges

scholarly journals Improved Cat Swarm Optimization for Simultaneous Allocation of DSTATCOM and DGs in Distribution Systems

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Neeraj Kanwar ◽  
Nikhil Gupta ◽  
K. R. Niazi ◽  
Anil Swarnkar
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Optimal Allocation ◽  
Search Space ◽  
Optimization Techniques ◽  
Swarm Optimization ◽  
Cat Swarm Optimization ◽  
Power Loss Reduction ◽  
Behavior Of Cats ◽  
Search Approach

This paper addresses a new methodology for the simultaneous optimal allocation of DSTATCOM and DG in radial distribution systems to maximize power loss reduction while maintaining better node voltage profiles under multilevel load profile. Cat Swarm Optimization (CSO) is one of the recently developed powerful swarm intelligence-based optimization techniques that mimics the natural behavior of cats but usually suffers from poor convergence and accuracy while subjected to large dimension problem. Therefore, an Improved CSO (ICSO) technique is proposed to efficiently solve the problem where the seeking mode of CSO is modified to enhance its exploitation potential. In addition, the problem search space is virtually squeezed by suggesting an intelligent search approach which smartly scans the problem search space. Further, the effect of network reconfiguration has also been investigated after optimally placing DSTATCOMs and DGs in the distribution network. The suggested measures enhance the convergence and accuracy of the algorithm without loss of diversity. The proposed method is investigated on 69-bus test distribution system and the application results are very promising for the operation of smart distribution systems.

Optimal restoration of power distribution system through particle swarm optimization

2015 ◽  
Author(s):  
Leonardo W. Oliveira ◽  
Edimar J. Oliveira ◽  
Ivo C. Silva ◽  
Flavio V. Gomes ◽  
Thiago T. Borges ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Power Distribution ◽  
Distribution System ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Power Distribution System

scholarly journals Minimization of Logistics Cost and Carbon Emissions Based on Quantum Particle Swarm Optimization

2018 ◽  
Vol 10 (10) ◽  
pp. 3791 ◽  
Author(s):  
Daqing Wu ◽  
Jiazhen Huo ◽  
Gefu Zhang ◽  
Weihua Zhang
Keyword(s):  
Particle Swarm Optimization ◽  
Supply Chain ◽  
Carbon Emissions ◽  
Time Window ◽  
Quantum Particle ◽  
Particle Swarm ◽  
Transport Cost ◽  
Distribution Centers ◽  
Swarm Optimization ◽  
Quantum Particle Swarm Optimization

This paper aims to simultaneously minimize logistics costs and carbon emissions. For this purpose, a mathematical model for a three-echelon supply chain network is created considering the relevant constraints such as capacity, production cost, transport cost, carbon emissions, and time window, which will be solved by the proposed quantum-particle swarm optimization algorithm. The three-echelon supply chain, consisting of suppliers, distribution centers, and retailers, is established based on the number and location of suppliers, the transport method from suppliers to distribution centers, and the quantity of products to be transported from suppliers to distribution centers and from these centers to retailers. Then, a quantum-particle swarm optimization is described as its performance is validated with different benchmark functions. The scenario analysis validates the model and evaluates its performance to balance the economic benefit and environmental effect.

Decision Support System for Real Time Vehicle Routing in Indian Dairy Industry: A Case Study

2013 ◽  
Vol 6 (4) ◽  
pp. 77-101 ◽  
Author(s):  
R. A. Malairajan ◽  
K. Ganesh ◽  
M. Punnniyamoorthy ◽  
S. P. Anbuudayasankar
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Supply Chain Management ◽  
Decision Support System ◽  
Vehicle Routing ◽  
Support System ◽  
Distribution System ◽  
Physical Distribution ◽  
Chain Management ◽  
Distribution Logistics

In today’s highly competitive and demanding environment, the pressure on both public and private organizations is to achieve a better way to deliver values to end customers. There has been a growing recognition that the two goals, cost reduction and customer service are achieved through Logistics and Supply Chain Management (SCM). Transportation of goods continues an important part of in-bound as well as outbound logistics of Supply Chain Management (SCM). Efficient distribution of goods and services is of great importance in today’s competitive market, because transportation constitutes a considerable portion of the purchase price of most products or services. Vehicle routing is considered as an important resource in a distribution logistics management system. Effective plan and control of vehicle operation can significantly reduce the cost of physical distribution system. To overcome the challenges of changing environment, the scheme of vehicle control of a physical distribution system should be dynamic. Thus India has become the top milk producing country in the world. This study addresses the vehicle routing aspect of distribution logistics in Sangam dairy supply chain of Guntur district in Andhra Pradesh. The problem is viewed as Vehicle Routing Problem with Backhauls (VRPB) and a mathematical model is developed with the consideration of various practical constraints. Moreover, a decision support system is developed for dynamic VRPB, which would help the manager in making operational and tactical decisions.

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