Large array synthesis using Invasive Weed Optimization

2013 ◽  
Author(s):  
Lakshman Pappula ◽  
Debalina Ghosh
Keyword(s):  
Large Array ◽  
Invasive Weed Optimization ◽  
Invasive Weed

scholarly journals A novel hybrid IWO and CS algorithm for phase-only pattern synthesis of large array antenna

2021 ◽  
Vol 336 ◽  
pp. 04008
Author(s):  
Chao Liu ◽  
Bo Yang ◽  
Chuan Li
Keyword(s):  
Competitive Exclusion ◽  
Optimal Solution ◽  
Cuckoo Search ◽  
Side Lobe ◽  
Array Antenna ◽  
Large Array ◽  
Invasive Weed Optimization ◽  
Pattern Synthesis ◽  
Invasive Weed ◽  
Local Optimal Solution

In this paper, a novel hybrid Invasive Weed Optimization (IWO) and Cuckoo Search (CS) algorithm (IWO/CS) is presented for phase-only pattern synthesis of large array antenna. The hybrid IWO/CS algorithm embeds the Levy flight of CS algorithm into IWO algorithm as a global guide, thereby enhancing the global search ability of the algorithm. At the same time, in order to avoid trapping into the local optimal solution, mutation operator is introduced to enhance search ability of the algorithm. Finally, competitive exclusion operation is improved to maintain the diversity of population. The hybrid algorithm is applied to phase-only beam shaping to achieve main lobe broadening and side lobe depression. Simulation results demonstrate the superiority of the hybrid IWO and CS algorithm.

Application of chaos-based chaotic invasive weed optimization techniques for environmental OPF problems in the power system

2014 ◽  
Vol 69 ◽  
pp. 271-284 ◽  
Author(s):  
Mojtaba Ghasemi ◽  
Sahand Ghavidel ◽  
Jamshid Aghaei ◽  
Mohsen Gitizadeh ◽  
Hasan Falah
Keyword(s):  
Power System ◽  
Optimization Techniques ◽  
Invasive Weed Optimization ◽  
Invasive Weed

An Adaptive Invasive Weed Optimization Algorithm

2015 ◽  
Vol 29 (02) ◽  
pp. 1559004 ◽  
Author(s):  
Shuo Peng ◽  
A.-J. Ouyang ◽  
Jeff Jun Zhang
Keyword(s):  
Optimization Algorithm ◽  
Initial Step ◽  
Local Extremum ◽  
Invasive Weed Optimization ◽  
Step Size ◽  
Invasive Weed ◽  
Adaptive Step Size ◽  
Initial Step Size ◽  
Adaptive Step ◽  
Optimization Search

With regards to the low search accuracy of the basic invasive weed optimization algorithm which is easy to get into local extremum, this paper proposes an adaptive invasive weed optimization (AIWO) algorithm. The algorithm sets the initial step size and the final step size as the adaptive step size to guide the global search of the algorithm, and it is applied to 20 famous benchmark functions for a test, the results of which show that the AIWO algorithm owns better global optimization search capacity, faster convergence speed and higher computation accuracy compared with other advanced algorithms.

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