A Comparative Study of MIP and CP Formulations for the B2B Scheduling Optimization Problem

2015 ◽  
pp. 306-321
Author(s):  
Gilles Pesant ◽  
Gregory Rix ◽  
Louis-Martin Rousseau
Keyword(s):  
Comparative Study ◽  
Optimization Problem ◽  
Scheduling Optimization

Layout Optimization Base on Election Campaign Algorithm

2013 ◽  
Vol 655-657 ◽  
pp. 2386-2391
Author(s):  
Qing Hua Xie ◽  
Xiang Wei Zhang ◽  
Wen Ge Lv ◽  
Chun Tao Lin
Keyword(s):  
Comparative Study ◽  
Optimization Problem ◽  
Layout Optimization ◽  
Election Campaign ◽  
Recycling System ◽  
System Process

Waste appliances have become new urban polluter because of the replacing of appliances households and corporates throw away. A case of recycling system of waste appliances in China is on the agenda. As the recycling system process, the layout optimization problem come out, we present a solution by using a new algorithm named Election campaign algorithm (ECA). ECA acts by simulating the behavior that the election candidates pursue the highest support in election campaign. Our comparative study indicates that ECA has good performance in this kind of optimization cases.

scholarly journals Stabilization of Inverted Cart-Pendulum System Using Controller: A Frequency-Domain Approach

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Sunil Kumar Mishra ◽  
Dinesh Chandra
Keyword(s):  
Particle Swarm Optimization ◽  
Comparative Study ◽  
Frequency Domain ◽  
Pid Controller ◽  
Optimization Problem ◽  
Optimization Technique ◽  
Swarm Optimization ◽  
Pendulum System ◽  
Particle Swarm Optimization Technique ◽  
Frequency Domain Approach

This paper focuses on the angular stabilization of inverted cart-pendulum system using controller. The tuning of controller is formulated as a nonlinear optimization problem, in which the objective function is composed of five design conditions in frequency domain. Particle swarm optimization technique has been used for optimizing parameters. Also a PID controller has been designed based on same specifications, and a comparative study has been carried out. All the responses have been calculated using FOMCON toolbox of Matlab/Simulink.

Research on the Equipment Maintenance Tasks Scheduling Optimization Problem Based on GA

2012 ◽  
Vol 452-453 ◽  
pp. 750-754
Author(s):  
Yi Ma ◽  
Yu Lu ◽  
Li Yun Chen ◽  
Ping Gu
Keyword(s):  
Genetic Algorithm ◽  
Optimization Model ◽  
Optimization Problem ◽  
New Method ◽  
Equipment Maintenance ◽  
Np Hard ◽  
Scheduling Optimization ◽  
Tasks Scheduling ◽  
Problem Design ◽  
The Military

Scientific maintenance tasks scheduling can improve maintenance effectiveness greatly. Aiming for the shortage of the research on the equipment maintenance tasks scheduling optimization (EMTSO) problem, this paper proposes a new method based on GA. The detail is as follows: Make the optimization model of the EMTSO problem by analyzing the characteristics of maintenance tasks scheduling systemically. Aiming for the NP hard characteristic of the problem, design the genetic algorithm to solve it. Finally, use the instance to validate the method. The result reflects that the method proposed by this paper can solve the equipment maintenance tasks scheduling optimization problem, and it has good applicable value in the military domain.

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