scholarly journals Differential evolution-assisted salp swarm algorithm with chaotic structure for real-world problems

Author(s):  
Hongliang Zhang ◽  
Tong Liu ◽  
Xiaojia Ye ◽  
Ali Asghar Heidari ◽  
Guoxi Liang ◽  
...  
Author(s):  
Sushant P. Mhatugade ◽  
Ganesh M. Kakandikar ◽  
Omkar K. Kulkarni ◽  
Vilas M. Nandedkar

2020 ◽  
Author(s):  
Supriya Dhabal ◽  
Roshni Chakrabarti ◽  
Niladri Shekhar Mishra ◽  
Palaniandavar Venkateswaran

Author(s):  
Mokhtar Essaid ◽  
Lhassane Idoumghar ◽  
Julien Lepagnot ◽  
Mathieu Brevilliers ◽  
Daniel Foderean

2020 ◽  
Vol 80 ◽  
pp. 929-943 ◽  
Author(s):  
Mohamed Abd Elaziz ◽  
Lin Li ◽  
K. P. N Jayasena ◽  
Shengwu Xiong

MENDEL ◽  
2017 ◽  
Vol 23 (1) ◽  
pp. 7-14 ◽  
Author(s):  
Petr Bujok ◽  
Josef Tvrdik ◽  
Radka Polakova

Eight popular nature inspired algorithms are compared with the blind random search and three advanced adaptive variants of differential evolution (DE) on real-world problems benchmark collected for CEC 2011 algorithms competition. The results show the good performance of the adaptive DE variants and their superiority over the other algorithms in the test problems. Some of the nature-inspired algorithms perform even worse that the blind random search in some problems. This is a strong argument for recommendation for application, where well-verified algorithm successful in competitions should be preferred instead of developing some new algorithms.


Author(s):  
Mokhtar Essaid ◽  
Mathieu Brevilliers ◽  
Julien Lepagnot ◽  
Lhassane Idoumghar ◽  
Daniel Fodorean

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