Estimating Differential Evolution crossover parameter with VNS approach for continuous global optimization

2012 ◽  
Vol 39 ◽  
pp. 257-264
Author(s):  
Darko Kovačević ◽  
Bratislav Petrović ◽  
Pavle Milošević
Keyword(s):  
Global Optimization ◽  
Differential Evolution ◽  
Continuous Global Optimization ◽  
Crossover Parameter

scholarly journals Nonlinear Continuous Global Optimization by Modified Differential Evolution

2010 ◽  
Author(s):  
Md. Abul Kalam Azad ◽  
Edite M. G. P. Fernandes ◽  
Ana M. A. C. Rocha ◽  
Theodore E. Simos ◽  
George Psihoyios ◽  
...  
Keyword(s):  
Global Optimization ◽  
Differential Evolution ◽  
Continuous Global Optimization

scholarly journals Modified Flower Pollination Algorithm for Global Optimization

Mathematics ◽  
2021 ◽  
Vol 9 (14) ◽  
pp. 1661
Author(s):  
Mohamed Abdel-Basset ◽  
Reda Mohamed ◽  
Safaa Saber ◽  
S. S. Askar ◽  
Mohamed Abouhawwash
Keyword(s):  
Global Optimization ◽  
Nonlinear Equation ◽  
Differential Evolution ◽  
Flower Pollination Algorithm ◽  
Test Cases ◽  
Test Functions ◽  
Flower Pollination ◽  
New Variant ◽  
Experimental Findings ◽  
Nonlinear Equation Systems

In this paper, a modified flower pollination algorithm (MFPA) is proposed to improve the performance of the classical algorithm and to tackle the nonlinear equation systems widely used in engineering and science fields. In addition, the differential evolution (DE) is integrated with MFPA to strengthen its exploration operator in a new variant called HFPA. Those two algorithms were assessed using 23 well-known mathematical unimodal and multimodal test functions and 27 well-known nonlinear equation systems, and the obtained outcomes were extensively compared with those of eight well-known metaheuristic algorithms under various statistical analyses and the convergence curve. The experimental findings show that both MFPA and HFPA are competitive together and, compared to the others, they could be superior and competitive for most test cases.

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