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Fitness-distance balance (FDB): A new selection method for meta-heuristic search algorithms

Knowledge-based systems, 2020-02, Vol.190, p.105169, Article 105169

2020

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Fitness–Distance Balance based adaptive guided differential evolution algorithm for security-constrained optimal power flow problem incorporating renewable energy sources

Applied soft computing, 2021-09, Vol.108, p.107421, Article 107421

2021

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Detection of melanoma with hybrid learning method by removing hair from dermoscopic images using image processing techniques and wavelet transform

Biomedical signal processing and control, 2023-07, Vol.84, p.104729, Article 104729

2023

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Passive Mine Detection and Classification Method Based on Hybrid Model

IEEE access, 2018-01, Vol.6, p.47870-47888

2018

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Optimization of Optimal Power Flow Problem Using Multi-Objective Manta Ray Foraging Optimizer

Applied soft computing, 2022-02, Vol.116, p.108334, Article 108334

2022

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Development of the Multi-Objective Adaptive Guided Differential Evolution and optimization of the MO-ACOPF for wind/PV/tidal energy sources

Applied soft computing, 2021-11, Vol.112, p.107814, Article 107814

2021

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Economical operation of modern power grids incorporating uncertainties of renewable energy sources and load demand using the adaptive fitness-distance balance-based stochastic fractal search algorithm

Engineering applications of artificial intelligence, 2023-01, Vol.117, p.105501, Article 105501

2023

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A new evolutionary optimization algorithm with hybrid guidance mechanism for truck-multi drone delivery system

Expert systems with applications, 2024-07, Vol.245, p.123115, Article 123115

2024

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Optimal solution of the combined heat and power economic dispatch problem by adaptive fitness-distance balance based artificial rabbits optimization algorithm

Expert systems with applications, 2024-03, Vol.238, p.122272, Article 122272

2024

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Fitness-Distance-Constraint (FDC) based guide selection method for constrained optimization problems

Applied soft computing, 2023-09, Vol.144, p.110479, Article 110479

2023

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Meta-heuristic search algorithms in truss optimization: Research on stability and complexity analyses

Applied soft computing, 2023-09, Vol.145, p.110573, Article 110573

2023

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A novel stochastic fractal search algorithm with fitness-Distance balance for global numerical optimization

Swarm and evolutionary computation, 2021-03, Vol.61, p.100821, Article 100821

2021

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Improved Lévy flight distribution algorithm with FDB-based guiding mechanism for AVR system optimal design

Computers & industrial engineering, 2022-06, Vol.168, p.108032, Article 108032

2022

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A novel and powerful hybrid classifier method: Development and testing of heuristic k-nn algorithm with fuzzy distance metric

Data & knowledge engineering, 2016-05, Vol.103, p.44-59

Kahraman, Hamdi Tolga

2016

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Optimal operation and planning of hybrid AC/DC power systems using multi-objective grasshopper optimization algorithm

Neural computing & applications, 2022-12, Vol.34 (24), p.22531-22563

2022

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A powerful meta-heuristic search algorithm for solving global optimization and real-world solar photovoltaic parameter estimation problems

Engineering applications of artificial intelligence, 2022-05, Vol.111, p.104763, Article 104763

2022

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Development of the Natural Survivor Method (NSM) for designing an updating mechanism in metaheuristic search algorithms

Engineering applications of artificial intelligence, 2023-06, Vol.122, p.106121, Article 106121

2023

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Dynamic FDB selection method and its application: modeling and optimizing of directional overcurrent relays coordination

Applied intelligence (Dordrecht, Netherlands), 2022-03, Vol.52 (5), p.4873-4908

2022

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A comprehensive performance analysis of meta-heuristic optimization techniques for effective organic rankine cycle design

Applied thermal engineering, 2022-08, Vol.213, p.118687, Article 118687

2022

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Dynamic Switched Crowding-based Multi-Objective Particle Swarm Optimization Algorithm for Solving Multi-Objective AC-DC Optimal Power Flow Problem

Applied soft computing, 2024-11, Vol.166, p.112155, Article 112155

2024

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Combined heat and power economic emission dispatch using dynamic switched crowding based multi-objective symbiotic organism search algorithm

Applied soft computing, 2024-01, Vol.151, p.111106, Article 111106

2024

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Unified space approach-based Dynamic Switched Crowding (DSC): A new method for designing Pareto-based multi/many-objective algorithms

Swarm and evolutionary computation, 2022-12, Vol.75, p.101196, Article 101196

2022

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A supply chain network design for blood and its products using genetic algorithm: A case study of Turkey

Journal of industrial and management optimization, 2023-07, Vol.19 (7), p.5407-5446

2023

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Optimal Power Flow for Hybrid AC/DC Electrical Networks Configured With VSC-MTDC Transmission Lines and Renewable Energy Sources

IEEE systems journal, 2023-09, Vol.17 (3), p.1-12

2023

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A novel optimal power flow model for efficient operation of hybrid power networks

Computers & electrical engineering, 2023-09, Vol.110, p.108885, Article 108885

2023

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Fitness-distance balance (FDB): A new selection method for meta-heuristic search algorithms

Fitness–Distance Balance based adaptive guided differential evolution algorithm for security-constrained optimal power flow problem incorporating renewable energy sources

Detection of melanoma with hybrid learning method by removing hair from dermoscopic images using image processing techniques and wavelet transform

Passive Mine Detection and Classification Method Based on Hybrid Model

Optimization of Optimal Power Flow Problem Using Multi-Objective Manta Ray Foraging Optimizer

Development of the Multi-Objective Adaptive Guided Differential Evolution and optimization of the MO-ACOPF for wind/PV/tidal energy sources

Economical operation of modern power grids incorporating uncertainties of renewable energy sources and load demand using the adaptive fitness-distance balance-based stochastic fractal search algorithm

A new evolutionary optimization algorithm with hybrid guidance mechanism for truck-multi drone delivery system

Optimal solution of the combined heat and power economic dispatch problem by adaptive fitness-distance balance based artificial rabbits optimization algorithm

Fitness-Distance-Constraint (FDC) based guide selection method for constrained optimization problems

Meta-heuristic search algorithms in truss optimization: Research on stability and complexity analyses

A novel stochastic fractal search algorithm with fitness-Distance balance for global numerical optimization

Improved Lévy flight distribution algorithm with FDB-based guiding mechanism for AVR system optimal design

A novel and powerful hybrid classifier method: Development and testing of heuristic k-nn algorithm with fuzzy distance metric

Optimal operation and planning of hybrid AC/DC power systems using multi-objective grasshopper optimization algorithm

A powerful meta-heuristic search algorithm for solving global optimization and real-world solar photovoltaic parameter estimation problems

Development of the Natural Survivor Method (NSM) for designing an updating mechanism in metaheuristic search algorithms

Dynamic FDB selection method and its application: modeling and optimizing of directional overcurrent relays coordination

A comprehensive performance analysis of meta-heuristic optimization techniques for effective organic rankine cycle design

Dynamic Switched Crowding-based Multi-Objective Particle Swarm Optimization Algorithm for Solving Multi-Objective AC-DC Optimal Power Flow Problem

Combined heat and power economic emission dispatch using dynamic switched crowding based multi-objective symbiotic organism search algorithm

Unified space approach-based Dynamic Switched Crowding (DSC): A new method for designing Pareto-based multi/many-objective algorithms

A supply chain network design for blood and its products using genetic algorithm: A case study of Turkey

Optimal Power Flow for Hybrid AC/DC Electrical Networks Configured With VSC-MTDC Transmission Lines and Renewable Energy Sources

A novel optimal power flow model for efficient operation of hybrid power networks

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