User profiles for Sefa Aras
Sefa ArasYazılım Mühendisliği, Karadeniz Teknik Üniversitesi Verified email at ktu.edu.tr Cited by 901 |
Fitness-distance balance (FDB): a new selection method for meta-heuristic search algorithms
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 and effective studies …
However, apart from a few successful methods developed in the past, new and effective studies …
Development of the Natural Survivor Method (NSM) for designing an updating mechanism in metaheuristic search algorithms
Meta-heuristic search algorithms (MHSs) are methods that take their inspiration from nature.
However, the fitness value information used in the design of the update mechanism in …
However, the fitness value information used in the design of the update mechanism in …
Fitness–Distance Balance based adaptive guided differential evolution algorithm for security-constrained optimal power flow problem incorporating renewable energy …
One of the most difficult types of problems computationally is the security-constrained optimal
power flow (SCOPF), a non-convex, nonlinear, large-scale, nondeterministic polynomial …
power flow (SCOPF), a non-convex, nonlinear, large-scale, nondeterministic polynomial …
A powerful meta-heuristic search algorithm for solving global optimization and real-world solar photovoltaic parameter estimation problems
The teaching-learning-based artificial bee colony (TLABC) is a new hybrid swarm-based
metaheuristic search algorithm. It combines the exploitation of the teaching learning-based …
metaheuristic search algorithm. It combines the exploitation of the teaching learning-based …
A novel stochastic fractal search algorithm with fitness-distance balance for global numerical optimization
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 problems in effectively …
with strong foundations. As with many other MHS methods, there are problems in effectively …
Dynamic FDB selection method and its application: modeling and optimizing of directional overcurrent relays coordination
This article has four main objectives. These are: to develop the dynamic fitness-distance
balance (dFDB) selection method for meta-heuristic search algorithms, to develop a strong …
balance (dFDB) selection method for meta-heuristic search algorithms, to develop a strong …
Development of a Lévy flight and FDB-based coyote optimization algorithm for global optimization and real-world ACOPF problems
This article presents an improved version of the coyote optimization algorithm (COA) that is
more compatible with nature. In the proposed algorithm, fitness-distance balance (FDB) and …
more compatible with nature. In the proposed algorithm, fitness-distance balance (FDB) and …
A comprehensive performance analysis of meta-heuristic optimization techniques for effective organic rankine cycle design
Optimizing the operating parameters is of great importance to improve Organic Rankine Cycle
(ORC) system efficiency. Nowadays, meta-heuristic algorithms are widely used to obtain …
(ORC) system efficiency. Nowadays, meta-heuristic algorithms are widely used to obtain …
Fitness-distance balance based artificial ecosystem optimisation to solve transient stability constrained optimal power flow problem
The Transient Stability Constrained Optimal Power Flow (TSCOPF) has become an important
tool for power systems today. TSCOPF is a nonlinear optimisation problem, making its …
tool for power systems today. TSCOPF is a nonlinear optimisation problem, making its …
Dental X-Ray image enhancement using a novel evolutionary optimization algorithm
As an optimization problem, the main challenges in the enhancement of dental X-ray images
are to perform the tasks of edge detection, noise removal and brightness adjustment in a …
are to perform the tasks of edge detection, noise removal and brightness adjustment in a …