Stability improvement of PV‐BESS diesel generator‐based microgrid with a new modified harmony search‐based hybrid firefly algorithm

2017 ◽  
Vol 11 (5) ◽  
pp. 566-577 ◽  
Author(s):  
Prachitara Satapathy ◽  
Snehamoy Dhar ◽  
Pradipta Kishore Dash
Keyword(s):  
Firefly Algorithm ◽  
Harmony Search ◽  
Diesel Generator ◽  
Hybrid Firefly Algorithm

The development of a hybrid firefly algorithm for multi-pass grinding process optimization

2018 ◽  
Vol 30 (6) ◽  
pp. 2457-2472 ◽  
Author(s):  
Zhonglei Liu ◽  
Xuekun Li ◽  
Dingzhu Wu ◽  
Zhiqiang Qian ◽  
Pingfa Feng ◽  
...  
Keyword(s):  
Process Optimization ◽  
Firefly Algorithm ◽  
Grinding Process ◽  
Hybrid Firefly Algorithm ◽  
Grinding Process Optimization

scholarly journals An Effective Hybrid Firefly Algorithm with Harmony Search for Global Numerical Optimization

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Lihong Guo ◽  
Gai-Ge Wang ◽  
Heqi Wang ◽  
Dinan Wang
Keyword(s):  
Numerical Optimization ◽  
Firefly Algorithm ◽  
Harmony Search ◽  
Optimization Methods ◽  
Convergence Speed ◽  
Function Optimization ◽  
Global Numerical Optimization ◽  
Running Time ◽  
Hybrid Metaheuristic ◽  
Better Than

A hybrid metaheuristic approach by hybridizing harmony search (HS) and firefly algorithm (FA), namely, HS/FA, is proposed to solve function optimization. In HS/FA, the exploration of HS and the exploitation of FA are fully exerted, so HS/FA has a faster convergence speed than HS and FA. Also, top fireflies scheme is introduced to reduce running time, and HS is utilized to mutate between fireflies when updating fireflies. The HS/FA method is verified by various benchmarks. From the experiments, the implementation of HS/FA is better than the standard FA and other eight optimization methods.

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