Search Results - "Kahraman,Hamdi Tolga"

Fitness-distance balance (FDB): A new selection method for meta-heuristic search algorithms by Kahraman, Hamdi Tolga, Aras, Sefa, Gedikli, Eyüp

“…Selection methods have an important role in the meta-heuristic search (MHS) process. However, apart from a few successful methods developed in the past, new…”
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Fitness–Distance Balance based adaptive guided differential evolution algorithm for security-constrained optimal power flow problem incorporating renewable energy sources by Guvenc, Ugur, Duman, Serhat, Kahraman, Hamdi Tolga, Aras, Sefa, Katı, Mehmet

“…One of the most difficult types of problems computationally is the security-constrained optimal power flow (SCOPF), a non-convex, nonlinear, large-scale,…”
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Detection of melanoma with hybrid learning method by removing hair from dermoscopic images using image processing techniques and wavelet transform by Suiçmez, Çağrı, Tolga Kahraman, Hamdi, Suiçmez, Alihan, Yılmaz, Cemal, Balcı, Furkan

“…[Display omitted] •In this study, for the first time, in the images removed from the hair, saturation was increased by masking and wavelet transform was…”
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Rulet Elektromanyetik Alan Optimizasyon (R-EFO) Algoritması by KAHRAMAN, Hamdi Tolga

“…Meta-sezgisel optimizasyon algoritmalarının yerel arama performansları üzerinde etkili olan iki temel öğe seçim yöntemleri ve arama operatörleridir. Bu makale…”
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Passive Mine Detection and Classification Method Based on Hybrid Model by Yilmaz, Cemal, Kahraman, Hamdi Tolga, Soyler, Salih

“…At present, active detectors are commonly used for detection of land mines. Land mines can be detected with high precision through active detectors. However,…”
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Analysis, test and management of the meta-heuristic searching process: An experimental study on SOS by Kahraman,Hamdi Tolga, Aras,Sefa, Sönmez,Yusuf, Güvenç,Uğur, Gedikli,Eyüp

“…In a search process, getting trapped in a local minimum or jumping the global minimum problems are also one of the biggest problems of meta-heuristic…”
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Optimization of Optimal Power Flow Problem Using Multi-Objective Manta Ray Foraging Optimizer by Kahraman, Hamdi Tolga, Akbel, Mustafa, Duman, Serhat

“…Finding a feasible solution set for optimization problems in conflict with objective functions poses significant challenges. Moreover, in such problems, the…”
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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 by Duman, Serhat, Akbel, Mustafa, Kahraman, Hamdi Tolga

“…Currently, one of the most popular research topics is the development of a new meta-heuristic algorithm for solving multi-objective optimization problems…”
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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 by Duman, Serhat, Kahraman, Hamdi Tolga, Kati, Mehmet

“…With the increase in the world population and the rapid developments in technology, the energy demands on modern electricity grids are also rising. In order to…”
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A new evolutionary optimization algorithm with hybrid guidance mechanism for truck-multi drone delivery system by Yılmaz, Cemal, Cengiz, Enes, Kahraman, Hamdi Tolga

“…Synchronization of the Traveling Salesman Problem with Drone (TSP-D) is one of the most complex NP-hard combinatorial routing problems in the literature. The…”
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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 by Ozkaya, Burcin, Duman, Serhat, Kahraman, Hamdi Tolga, Guvenc, Ugur

“…Combined heat and power economic dispatch (CHPED) problem is one of the most widely handled, optimization problem by researchers in modern power systems. CHPED…”
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Meta-heuristic search algorithms in truss optimization: Research on stability and complexity analyses by Öztürk, Hasan Tahsin, Kahraman, Hamdi Tolga

“…Although they are among the most researched real world engineering design problems, it is encountered with significant problems in the optimization of…”
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Fitness-Distance-Constraint (FDC) based guide selection method for constrained optimization problems by Ozkaya, Burcin, Kahraman, Hamdi Tolga, Duman, Serhat, Guvenc, Ugur

“…In the optimization of constrained type problems, the main difficulty is the elimination of the constraint violations in the evolutionary search process…”
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A novel stochastic fractal search algorithm with fitness-Distance balance for global numerical optimization by Aras, Sefa, Gedikli, Eyüp, Kahraman, Hamdi Tolga

“…Stochastic Fractal Search (SFS) is a new and original meta-heuristic search (MHS) algorithm with strong foundations. As with many other MHS methods, there are…”
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Improved Lévy flight distribution algorithm with FDB-based guiding mechanism for AVR system optimal design by Bakir, Huseyin, Guvenc, Ugur, Tolga Kahraman, Hamdi, Duman, Serhat

“…•A powerful and new metaheuristic search algorithm called FDB-LFD was developed.•FDB selection method was applied to prevent premature convergence and…”
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Optimal operation and planning of hybrid AC/DC power systems using multi-objective grasshopper optimization algorithm by Bakir, Huseyin, Guvenc, Ugur, Kahraman, Hamdi Tolga

“…Optimal power flow (OPF) in a hybrid alternating current and multi-terminal high-voltage direct current (AC-MTHVDC) grid is currently one of the most popular…”
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A novel and powerful hybrid classifier method: Development and testing of heuristic k-nn algorithm with fuzzy distance metric by Kahraman, Hamdi Tolga

“…Weight-tuning methods and distance metrics have a significant impact on the k-nearest neighbor-based classification. A major challenge is the issue of how to…”
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A powerful meta-heuristic search algorithm for solving global optimization and real-world solar photovoltaic parameter estimation problems by Duman, Serhat, Kahraman, Hamdi Tolga, Sonmez, Yusuf, Guvenc, Ugur, Kati, Mehmet, Aras, Sefa

“…The teaching-learning-based artificial bee colony (TLABC) is a new hybrid swarm-based metaheuristic search algorithm. It combines the exploitation of the…”
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Development of the Natural Survivor Method (NSM) for designing an updating mechanism in metaheuristic search algorithms by Kahraman, Hamdi Tolga, Katı, Mehmet, Aras, Sefa, Taşci, Durdane Ayşe

“…Meta-heuristic search algorithms (MHSs) are methods that take their inspiration from nature. However, the fitness value information used in the design of the…”
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A comprehensive performance analysis of meta-heuristic optimization techniques for effective organic rankine cycle design by Gürgen, Samet, Kahraman, Hamdi Tolga, Aras, Sefa, Altın, İsmail

“…•A simulation study was introduced for effective ORC design.•31 powerful MHS algorithms were tested in simulation studies.•The optimum and feasible solutions…”
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