Paper Info
Title
A Novel Hybrid Particle Swarm Optimization Algorithm Combined with Harmony Search for High Dimensional Optimization Problems
Abstract
Particle swarm optimization (PSO) has gained increasing attention in tackling optimization problems. Its further superiority when hybridized with other techniques is also shown. In this paper a novel hybrid particle swarm optimization (NHPSO) is proposed in order to solve high dimensional optimization problems more efficiently, accurately and reliably. It provides a new architecture of hybrid algorithms, which organically merges the harmony search (HS) method into particle swarm optimization (PSO). During the course of evolvement, harmony search is used to improve the search performance and this makes NHPSO algorithm have more powerful exploitation capabilities. Simulation and comparisons based on several well-studied benchmarks demonstrate the effectiveness, efficiency and robustness of the proposed NHPSO.
Year
DOI
Venue
2007
10.1109/IPC.2007.22
IPC
Keywords
Field
DocType
nhpso algorithm,high dimensional optimization problems,particle swarm optimisation,new architecture,search problems,optimization problem,hybrid particle swarm optimization,hybrid algorithm,harmony search,high dimensional optimization problem,novel hybrid particle swarm,optimization algorithm combined,proposed nhpso,search performance,particle swarm optimization
Particle swarm optimization,Computer science,Algorithm,Multi-swarm optimization,Robustness (computer science),Harmony search,Artificial intelligence,Optimization problem,Imperialist competitive algorithm,Metaheuristic
Conference
ISBN
Citations 
PageRank 
978-0-7695-3006-2
14
1.00
References 
Authors
5
2
Name
Order
Citations
PageRank
Hong-qi Li1181.80
Li Li2141.00