Harmony search based particle swarm optimisation approach for optimal PID control in electroslag remelting process

2012 ◽  
Vol 15 (1) ◽  
pp. 20 ◽  
Author(s):  
Fang Cao ◽  
Wei Wang
Keyword(s):  
Pid Control ◽  
Harmony Search ◽  
Particle Swarm ◽  
Electroslag Remelting ◽  
Particle Swarm Optimisation ◽  
Optimal Pid Control

scholarly journals Generalised Adaptive Harmony Search: A Comparative Analysis of Modern Harmony Search

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Jaco Fourie ◽  
Richard Green ◽  
Zong Woo Geem
Keyword(s):  
Simulated Annealing ◽  
Comparative Analysis ◽  
Heuristic Algorithms ◽  
Harmony Search ◽  
Particle Swarm ◽  
Parameter Tuning ◽  
Population Based ◽  
Particle Swarm Optimisation ◽  
Optimisation Algorithm ◽  
Multimodal Problems

Harmony search (HS) was introduced in 2001 as a heuristic population-based optimisation algorithm. Since then HS has become a popular alternative to other heuristic algorithms like simulated annealing and particle swarm optimisation. However, some flaws, like the need for parameter tuning, were identified and have been a topic of study for much research over the last 10 years. Many variants of HS were developed to address some of these flaws, and most of them have made substantial improvements. In this paper we compare the performance of three recent HS variants: exploratory harmony search, self-adaptive harmony search, and dynamic local-best harmony search. We compare the accuracy of these algorithms, using a set of well-known optimisation benchmark functions that include both unimodal and multimodal problems. Observations from this comparison led us to design a novel hybrid that combines the best attributes of these modern variants into a single optimiser called generalised adaptive harmony search.

Particle Swarm Optimization-based Optimal PID Control of an Agricultural Mobile Robot

2021 ◽  
Author(s):  
Barış Gökçe ◽  
Yavuz Bahadır Koca ◽  
Yılmaz Aslan ◽  
Celal Onur Gökçe
Keyword(s):  
Particle Swarm Optimization ◽  
Mobile Robot ◽  
Pid Control ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Optimal Pid Control

Frequencies Wave Sound Particle Swarm Optimisation (FPSO)

2021 ◽  
pp. 1-32
Author(s):  
Ahmad K. Al Hwaitat ◽  
Rizik M. H. Al-Sayyed ◽  
Imad K. M. Salah ◽  
Saher Manaseer ◽  
Hamed S. Al-Bdour ◽  
...  
Keyword(s):  
Particle Swarm ◽  
Particle Swarm Optimisation
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