Gürcan Yavuz

Orcid: 0000-0002-2540-1930

According to our database1, Gürcan Yavuz authored at least 13 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Elitist artificial bee colony with dynamic population size for multimodal optimization problems.
Swarm Intell., December, 2023

2022
Diversified Position Update Equation-Based SSA with Refreshing-Gap Strategy for global optimization.
J. Comput. Sci., 2022

Artificial Bee Colony Algorithm with Distant Savants for constrained optimization.
Appl. Soft Comput., 2022

Senior Learning JAYA With Powell's Method and Incremental Population Strategy.
IEEE Access, 2022

2019
Popülasyon temelli metasezgiseller için genelleştirilmiş çatıların tasarımı ve gerçekleştirimi (Design and implementation of generalized frameworks for population-based metaheuristics)
PhD thesis, 2019

Improved Self-adaptive Search Equation-based Artificial Bee Colony Algorithm with competitive local search strategy.
Swarm Evol. Comput., 2019

Adaptive iir filter design using self-adaptive search equation based artificial beecolony algorithm.
Turkish J. Electr. Eng. Comput. Sci., 2019

2018
Multi-level image thresholding with global-best distance artificial bee colony algorithm.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

2017
ABC-X: a generalized, automatically configurable artificial bee colony framework.
Swarm Intell., 2017

Artificial bee colony framework to non-convex economic dispatch problem with valve point effects: a case study.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Self-adaptive search equation-based artificial bee colony algorithm with CMA-ES on the noiseless BBOB testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Angle Modulated Artificial Bee Colony Algorithms for Feature Selection.
Appl. Comput. Intell. Soft Comput., 2016

Self-adaptive search equation-based artificial bee colony algorithm on the CEC 2014 benchmark functions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016


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