scholarly journals Performance Comparison Between the Original Forms of Biogeography-Based Optimization Algorithms

2013 ◽  
Author(s):  
Ali R. Alroomi ◽  
Fadhel A. Albasri ◽  
Jawad H.Talaq
Keyword(s):  
Optimization Algorithms ◽  
Performance Comparison

scholarly journals Nature–inspired metaheuristic algorithms to find near–OGR sequences for WDM channel allocation and their performance comparison

2017 ◽  
Vol 15 (1) ◽  
pp. 520-547 ◽  
Author(s):  
Shonak Bansal ◽  
Neena Gupta ◽  
Arun Kumar Singh
Keyword(s):  
Wavelength Division Multiplexing ◽  
Channel Allocation ◽  
Statistical Tests ◽  
Optimization Algorithms ◽  
Performance Comparison ◽  
Metaheuristic Algorithms ◽  
Optical Channel ◽  
Complete Problems ◽  
Simulation Results ◽  
Nature Inspired Algorithms

Abstract Nowadays, nature–inspired metaheuristic algorithms are most powerful optimizing algorithms for solving the NP–complete problems. This paper proposes three approaches to find near–optimal Golomb ruler sequences based on nature–inspired algorithms in a reasonable time. The optimal Golomb ruler (OGR) sequences found their application in channel–allocation method that allows suppression of the crosstalk due to four–wave mixing in optical wavelength division multiplexing systems. The simulation results conclude that the proposed nature–inspired metaheuristic optimization algorithms are superior to the existing conventional and nature–inspired algorithms to find near–OGRs in terms of ruler length, total optical channel bandwidth, computation time, and computational complexity. Based on the simulation results, the performance of proposed different nature–inspired metaheuristic algorithms are being compared by using statistical tests. The statistical test results conclude the superiority of the proposed nature–inspired optimization algorithms.

A Performance Comparison of Optimization Algorithms on a Generated Dataset

2021 ◽  
pp. 1407-1415
Author(s):  
Dharma Karan Reddy Gaddam ◽  
Mohd Dilshad Ansari ◽  
Sandeep Vuppala ◽  
Vinit Kumar Gunjan ◽  
Madan Mohan Sati
Keyword(s):  
Optimization Algorithms ◽  
Performance Comparison ◽  
A Performance
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