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Journal of Multidisciplinary Modeling and Optimization
Arşiv
Journal of Multidisciplinary Modeling and Optimization
2021
Cilt: 4 - Sayı : 1
Model for Retail Price Forecast of Thailand Rice In Plateau State Nigeria
Developing a New Optimization Algorithm to Predict the Risk of Car Accidents Due to Drinking Alcoholic Drinks by Using Feed-Forward Artificial Neural Networks
Identification Of Material Using Muography
2020
Cilt: 3 - Sayı : 2
Structural and Spectral Analysis of Epicatechin Molecule by Density Functional Theory Method
A New Conjugate Gradient Method for Learning Fuzzy Neural Networks
Bezier Curve Based Smoothing Penalty Function for Constrained Optimization
Cilt: 3 - Sayı : 1
Parameterized Three-Term Conjugate Gradient Method
Empirical Parametrization of COVID-19 Virus Pandemic
Some Applications of Free Group
A new three-term conjugate gradient algorithm based on the Dai-Liao and the Liu-Xu conjugate gradient methods
2019
Cilt: 2 - Sayı : 2
Analytic solutions for the energy density and the temperature of the QGP in the early Universe
Wind Turbines and Biodigesters
Novel Lyapunov-type inequality for fractional boundary value problem
A Preconditioned Unconstrained Optimization Method for Training Multilayer Feed-forward Neural Network
Cilt: 2 - Sayı : 1
Dissatisfaction levels of earliness and tardiness durations by relaxing common due date on single machine scheduling problems
Three-Term Conjugate Gradient (TTCG) methods
On positive solution for a nonlocal fractional boundary value problem
A new filled function method with two parameters in a directional search
Exact Travelling Wave Solutions of the Nonlinear Gardner-Kawahara Equation by the Standard (G^'/G) –Expansion Method
2018
Cilt: 1 - Sayı : 2
The Role of Quark-Gluon Plasma in the Early Universe
Smoothing Approximations to Non-smooth Functions
Splitting of Spectrum Lines for Perturbed Systems; EPR Analysis in Solutions
Three-Term Conjugate Gradient Algorithm For Solve Unconstrained Optimization Problems
New Hybrid Conjugate Gradient Method as a Convex Combination of Liu-Storey and Dixon Methods
Cilt: 1 - Sayı : 1
Sufficient efficiency conditions associated with a multidimensional multiobjective fractional variational problem
Training feed forward neural network with modified Fletcher-Reeves method
Application of Modern and Classical Optimization Techniques in Abrasion of Al-Cu-SiCp and Al-Cu-B4Cp Composites
Fuzzy Logic Modeling for Prediction of the Nuclear Tracks
The new algorithm form of the Fletcher – Reeves Conjugate gradient algorithm
Başlangıç:
2017
Yayıncı:
Ahmet ŞAHİNER
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