Mustafa SecmenM. Fatih TasgetirenSecmen, MustafaTasgetiren, M. FatihDS HuangY GanV BevilacquaJC Figueroa2025-10-062011978-3-642-24727-997836422472790302-97431611-334910.1007/978-3-642-24728-6_182-s2.0-84857281753https://gcris.yasar.edu.tr/handle/123456789/5766https://doi.org/10.1007/978-3-642-24728-6_18This paper presents a differential evolution algorithm in order to find unique resonance frequencies of an electromagnetic target in the resonance scattering region. These frequencies are estimated from the roots of Laplace transform of a specially designed incident signal. The parameters of the signal are computed with an intelligent differential evolution (DE) algorithm. The algorithm searches for minimization of the scattered signal's energy in late-time region which is main fitness function in the algorithm. The proposed algorithm is demonstrated for a scattered signal of a dielectric sphere having several poles. The acquired pole results show very good agreement with theoretical expectations. Besides the differential evolution algorithm has higher accuracy as compared to a similar method which utilizes from genetic algorithm.Englishinfo:eu-repo/semantics/closedAccessScattered signal, Resonance frequencies, Differential evolutionRADAR TARGET, IDENTIFICATIONDifferential EvolutionScattered SignalResonance FrequenciesConference Object