A self-tuning modified firefly algorithm to solve univariate nonlinear equations with complex roots

• Published in: 2016 IEEE Congress on Evolutionary Computation (CEC) pp. 1477 - 1484
• Main Authors: Ariyaratne, M. K. A., Fernando, T. G. I., Weerakoon, S.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2016
• Subjects: Approximation algorithms; Genetic algorithms; Newton method; Nonlinear equations; Optimization; Sociology; Statistics

Existing numerical methods to solve univariate nonlinear equations sometimes fail to return the required results. We propose a modified firefly algorithm [MOD FA] with a self-tuning ability to solve a given univariate nonlinear equation. Our modification is capable of finding almost all real as well...