Best Polynomial Harmony Search with Best β-Hill Climbing Algorithm
Harmony Search Algorithm (HSA) is an evolutionary algorithm which mimics the process of music improvisation to obtain a nice harmony. The algorithm has been successfully applied to solve optimization problems in different domains. A significant shortcoming of the algorithm is inadequate exploitation...
Saved in:
| Main Author: | Abu Doush, Iyad (author) |
|---|---|
| Other Authors: | Santos, Eugene (author) |
| Published: |
2020
|
| Online Access: | https://dspace.auk.edu.kw/handle/11675/6655 https://doi.org/10.1515/jisys-2019-0101 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Improved Global-Best Harmony Search Algorithm
by: El-Abd, Mohammed
Published: (2013) -
A Hybrid Flower Pollination with p-Hill Climbing Algorithm for Global Optimization
by: Abou Doush, Iyad
Published: (2021) -
Binary B-Hill Climbing Optimizer with S-shape Transfer Function for Feature Selection
by: Abou Doush, Iyad
Published: (2020) -
A Sensitivity Analysis for Harmony Search with Multi-Parent Crossover Algorithm
by: Abu Doush, Iyad
Published: (2019) -
The Hybrid Framework for Multi-objective Evolutionary Optimization Based On Harmony Search Algorithm
by: Abu Doush, Iyad
Published: (2017)