Yazar "Karaboga, Dervis" için listeleme
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Best Supported Emigrant Creation For Parallel Implementation of Artificial Bee Colony Algorithm
Karaboga, Dervis; Aslan, Selcuk (Istanbul Univ, Fac Engineering, 2016)Artificial Bee Colony algorithm inspired by the foraging behavior of real honey bees is one of the most popular swarm intelligence based optimization techniques. Like other population based evolutionary computation approaches, ... -
Discovery of conserved regions in DNA sequences by Artificial Bee Colony (ABC) algorithm based methods
Karaboga, Dervis; Aslan, Selcuk (Springer, 2019)The conserved regions between genomic sequences extracted from the different species give important information about the complex regulatory mechanisms of the transcription and translation processes. However, identification ... -
Finding DNA Motifs with Collective Parallel Artificial Bee Colony Algorithm
Karaboga, Dervis; Aslan, Selcuk; Aksoy, Alperen (Ieee, 2018)Metaheuristic techniques have been successfully used to produce feasible solutions within the acceptable execution times for complex numerical or combinatorial problems on behalf of classical optimization or search techniques ... -
A genetic Artificial Bee Colony algorithm for signal reconstruction based big data optimization
Aslan, Selcuk; Karaboga, Dervis (Elsevier, 2020)In recent years, the researchers have witnessed the changes or transformations driven by the existence of the big data on the definitions, complexities and future directions of the real world optimization problems. Analyzing ... -
Improved quick artificial bee colony (iqABC) algorithm for global optimization
Aslan, Selcuk; Badem, Hasan; Karaboga, Dervis (Springer, 2019)Artificial bee colony (ABC) algorithm inspired by the complex behaviors of honey bees in foraging is one of the most significant swarm intelligence-based meta-heuristics and has been successfully applied to a number of ... -
Performance Analysis of Artificial Bee Colony Algorithm on ARM Based Mobile Platform
Aslan, Selcuk; Karaboga, Dervis; Aksoy, Alperen (Ieee, 2017)Improved mobile devices have the computational power and software support for processing complex algorithmic expressions with the similar execution time when compared to the conventional processors. In this study, we ...
