Demand Side Management Using Hybrid Genetic Algorithm and Pigeon Inspired Optimization Techniques

2018 ◽  
Author(s):  
Malik Hassan Abdul Rehman ◽  
Nadeem Javaid ◽  
Muhammad Nadeem Iqbal ◽  
Zaheer Abbas ◽  
Muhammad Awais ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Hybrid Genetic Algorithm ◽  
Demand Side Management ◽  
Optimization Techniques ◽  
Demand Side

Genetic Algorithm Based Demand Side Management for Smart Grid

2017 ◽  
Vol 93 (2) ◽  
pp. 481-502 ◽  
Author(s):  
C. Bharathi ◽  
D. Rekha ◽  
V. Vijayakumar
Keyword(s):  
Genetic Algorithm ◽  
Smart Grid ◽  
Demand Side Management ◽  
Demand Side

A New Hybrid Genetic Algorithm and Particle Swarm Optimization

2012 ◽  
Vol 498 ◽  
pp. 115-125 ◽  
Author(s):  
H. Hachimi ◽  
Rachid Ellaia ◽  
A. El Hami
Keyword(s):  
Genetic Algorithm ◽  
Particle Swarm Optimization ◽  
Hybrid Algorithm ◽  
Hybrid Genetic Algorithm ◽  
Particle Swarm ◽  
Optimization Techniques ◽  
Hybrid Technique ◽  
Swarm Optimization ◽  
New Generation ◽  
Crossover And Mutation

In this paper, we present a new hybrid algorithm which is a combination of a hybrid genetic algorithm and particle swarm optimization. We focus in this research on a hybrid method combining two heuristic optimization techniques, genetic algorithms (GA) and particle swarm optimization (PSO) for the global optimization. Denoted asGA-PSO, this hybrid technique incorporates concepts fromGAandPSOand creates individuals in a new generation not only by crossover and mutation operations as found inGAbut also by mechanisms ofPSO. The performance of the two algorithms has been evaluated using several experiments.

Complex Mechatronic System Reliability Optimization Using Hybrid Genetic Algorithm

2011 ◽  
Vol 138-139 ◽  
pp. 1296-1301 ◽  
Author(s):  
J. C. Wang ◽  
H. Qiu ◽  
J. M. Chen ◽  
G. D. Ji
Keyword(s):  
Genetic Algorithm ◽  
System Reliability ◽  
Optimization Problem ◽  
Hybrid Genetic Algorithm ◽  
Optimization Techniques ◽  
Reliability Optimization ◽  
Mechatronic System ◽  
Reliability Allocation ◽  
Highly Nonlinear ◽  
System Reliability Optimization

Reliability allocation optimization problem of a complex mechatronic system is a highly nonlinear constrained optimization problem, and hence solution to this kind of problem is of NP-hardness even with moderate scale. Due to the nonlinearity combined with multiple local extreme values, traditional optimization techniques fail to arrive at the global or nearly global optimal solution to the problem. Genetic algorithm incorporated with neighboring domain traversal searching technique is utilized in this paper to solve the complex mechatronic system reliability optimization allocation problem. Reliability allocation optimization of the life-support system in a space capsule, being a typical non serial-parallel system, is specifically demonstrated to show the satisfactory convergence performance as well as the important practical value of hybrid genetic algorithm. The simulation results show that the proposed method may gain better precision in solving the complex mechatronic system reliability optimization problem.

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