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Comparison of Modified Downhill Simplex and Differential Evolution with other Selected Optimization Methods Used for Discrete Event Simulation Models

Pavel Raska, Zdenek Ulrych
2015 Procedia Engineering  
and Differential Evolution.  ...  The paper deals with testing and evaluation of selected heuristic optimization methods -Random Search, Downhill Simplex, Hill Climbing, Tabu Search, Local Search, Simulated Annealing, Evolution Strategy  ...  Acknowledgements This paper was created with the subsidy of the project SGS-2012-063 "Integrated production system design as a meta product with use of a multidisciplinary approach and virtual reality"  ... 
doi:10.1016/j.proeng.2015.01.435 fatcat:hjjdaszleralrfz4wknsg6ufyq

A Modified Artificial Algae Algorithm For Large Scale Global Optimization Problems

Havva Gul Kocer, Sait Ali Uymaz
2018 International Journal of Intelligent Systems and Applications in Engineering  
For the purpose, in this paper Modified Artificial Algae Algorithm (MAAA) is proposed by modifying original version of Artificial Algae Algorithm (AAA) inspiring by Differential Evolution Algorithm (DE  ...  AAA and MAAA are compared with each other by operating with the first 10 benchmark functions of CEC2010 Special Session on Large Scale Global Optimization.  ...  First, Artificial Algae Algorithm, Differential Evolution are described briefly. Then Modified Artificial Algae Algorithm is described.  ... 
doi:10.18201/ijisae.2018448458 fatcat:gdygtvk25vfmbchbput6ot53kq

An Adaptive Masker for the Differential Evolution Algorithm

Nassim Ammour
2012 IOSR Journal of Computer Engineering  
In this paper, a new technique of real-coded modified differential evolution based automatic fuzzy clustering algorithm is proposed which automatically detects the optimal number of clusters and performs  ...  The effectiveness of the proposed technique is demonstrated by comparing it with other popular clustering algorithms.  ...  The modified version of the differential evolution technique has been used with an adaptive masker.  ... 
doi:10.9790/0661-0553239 fatcat:ely5c4licfdztb2ienkwq26mp4

A modified differential evolution based solution technique for economic dispatch problems

Md. Abul Azad, Edite Fernandes
2012 Journal of Industrial and Management Optimization  
Differential evolution is a population-based heuristic approach that has been shown to be very efficient to solve global optimization problems with simple bounds.  ...  In this paper, we propose a modified differential evolution based solution technique along with a tournament selection that makes pair-wise comparison among feasible and infeasible solutions based on the  ...  Solving Economic Dispatch Problems with Modified Differential Evolution.  ... 
doi:10.3934/jimo.2012.8.1017 fatcat:dfnyz5utijbq7awodbbnbsurym

Optimal Location and Control Parameter Settings of UPFC using Differential Evolution Algorithm

Author R.Vanitha, Author M.Sudhakaran
2011 International Journal of Computer Applications  
In this paper, two Evolutionary optimization techniques, namely Differential Evolution Algorithm (DE) and Genetic Algorithm (GA) are employed to solve optimal power flow problems.  ...  The main objective of this paper is to find the optimal location and control parameters settings of Unified Power Flow Controller (UPFC) with regard to power loss minimization.  ...  In this paper, Differential Evolution algorithm is used in OPF technique to determine the optimal location and control parameter settings of UPFC for minimization of total real power loss in the power  ... 
doi:10.5120/3812-5264 fatcat:yl53ogvplzfinofxh4rsnb3r3q

The classic differential evolution algorithm and its convergence properties
english

Roman Knobloch, Jaroslav Mlýnek, Radek Srb
2017 APPLICATIONS OF MATHEMATICS  
Differential evolution algorithms represent an up to date and efficient way of solving complicated optimization tasks.  ...  We demonstrate that although often declared as a global optimizer the classic differential evolution algorithm does not in general guarantee the convergence to the global minimum.  ...  Modified differential evolution algorithm In this section we describe the modification of CDEA called MDEA.  ... 
doi:10.21136/am.2017.0274-16 fatcat:vkfp6ffwkfhu3aweu4s4msuy7y

Turbomachinery Airfoil Design Optimization Using Differential Evolution [chapter]

Nateri K. Madavan
2003 Computational Fluid Dynamics 2002  
An a( r(,dynamic design optimization procedure that is based on a evolutionary algorithm known at Differential Evolution is described.  ...  Differential Evolution is a simple, fast, md robust evolutionary strategy that has been proven effective in determining the gkd)al optimum for several difficult optimization problems, including highly  ...  Differential evolution is thu_ similar to a (# + _) ES [19] with tt and _ equal to N [20].  ... 
doi:10.1007/978-3-642-59334-5_88 fatcat:2jqiyalnejexxaok2vlyxhircm

Literature Review on Differential Evolution Algorithm

Sadeer Fadhil Oudah, Ph.D. candidate in operations research., Prof. Dr. Hegazy Zaher, Assoc. Prof. Dr. Naglaa Ragaa Saeid Hassan, Dr. Eman Oun, Professor in mathematical statistics., Assoc. Professor in Operations Research., Doctor in Operations Research.
2021 Journal of University of Shanghai for Science and Technology  
The analysis also shows the applications that optimized using the differential evolution algorithm.  ...  Differential evolution algorithm is one of the most efficient metaheuristic approaches.  ...  Wang et al. (2012) proposed a novel modified binary differential evolution algorithm (NMBDE).  ... 
doi:10.51201/jusst/21/06471 fatcat:cd4xl66asvdvro3zzbgybhntnm

Nature inspired optimization and its application to engineering

Janmenjoy Nayak, Bighnaraj Naik, Asit Kumar Das, Danilo Pelusi
2021 Evolutionary Intelligence  
Sahu et.al has introduced an optimal differential evolution (DE) approach for AGC of five areas multi-element re-heat thermal power models with nonlinearities such as generator rate constraint (GRC) and  ...  evolution algorithm tuned tilt integral derivative controller with filter controller for automatic generation control, Parameters tuning of a quadrotor PID controllers and cryptanalysis of S-DES using  ...  Sahu et.al has introduced an optimal differential evolution (DE) approach for AGC of five areas multi-element re-heat thermal power models with nonlinearities such as generator rate constraint (GRC) and  ... 
doi:10.1007/s12065-021-00586-x fatcat:6msdidy4wjdgdhpypi2hxlxjam

Differential evolution based method for total transfer capability evaluation

R Rajathy, R Gnanadass, K Manivannan, H Kumar
2010 International Journal of Engineering, Science and Technology  
The performance of the proposed method is tested on the modified IEEE-30 bus system and results are compared with that of Particle Swarm Optimization method (PSO).  ...  The application of Differential Evolution (DE) to compute the Total Transfer Capability (TTC) in deregulated market is proposed in this paper.  ...  Overview of Differential Evolution Differential Evolution is an optimization algorithm developed by Storn and Price, which solves real-valued problems based on the principles of natural evolution (Price  ... 
doi:10.4314/ijest.v2i5.60125 fatcat:do72pd2r2jfutifztk7cl52iay

Memetic Search in Differential Evolution Algorithm

Sandeep Kumar, Vivek Kumar Sharma, Rajani Kumari
2014 International Journal of Computer Applications  
Differential Evolution (DE) is a renowned optimization stratagem that can easily solve nonlinear and comprehensive problems.  ...  The proposed strategy is named as Memetic Search in Differential Evolution (MSDE).  ...  DIFFERENTIAL EVOLUTION ALGORITHM Differential evolution is a strategy that optimizes a dilemma by iteratively trying to enhance an individual solution with regard to a specified gauge of excellence.  ... 
doi:10.5120/15582-4406 fatcat:oiafxupetjchnjinzlifabyzq4

Kinetic Parameter Estimation Using Modified Differential Evolution

Rakesh Angira
2011 International Journal of Electronics Signals and Systems  
In this work, a modified version of Differential Evolution (DE) algorithm [named Modified Differential evolution (MDE)] is used to solve a kinetic parameter estimation problem from chemical engineering  ...  The computational efficiency of MDE is compared with that of original DE and Trigonometric Differential Evolution (TDE).  ...  Differential Evolution (MDE).  ... 
doi:10.47893/ijess.2011.1022 fatcat:uvjz33ug3rf35p777chcvughhi

Optimization of reactor network design problem using Jumping Gene Adaptation of Differential Evolution

Ashish M Gujarathi, S Purohit, B Srikanth
2015 Journal of Physics, Conference Series  
The performance of the DE-JGa algorithm is compared with the performance of differential evolution (DE) and modified DE (MDE) by applying these algorithms on industrial problems.  ...  Detailed working principle of jumping gene adaptation of differential evolution (DE-JGa) is presented.  ...  evolution and modified differential evolution algorithms  ... 
doi:10.1088/1742-6596/622/1/012044 fatcat:zx7cgwe3hzfftgdwhnfupqe5zm

DIFFERENTIAL EVOLUTION WITH DYNAMIC ADAPTATION OF PARAMETERS BASED ON A FUZZY LOGIC AUGMENTATION APPROACH

Oscar Castillo, Patricia Ochoa, José Soria
2019 Journal of Universal Mathematics  
to the original differential evolution algorithm, with at the runtime of the algorithm proposed by us is better.  ...  However using the Fuzzy Differential Evolution algorithm changing F in decrease we can observe that when performing the statistical test of Wilcoxon with other two fuzzy algorithms the proposed algorithm  ...  real-valued parameters [17] .  ... 
doi:10.33773/jum.523748 fatcat:mxn65rtfwjbglnw3p3rpngzcse

A self-supervised neural-analytic method to predict the evolution of COVID-19 in Romania [article]

Radu D. Stochiţoiu, Marian Petrica, Traian Rebedea, Ionel Popescu, Marius Leordeanu
2020 arXiv   pre-print
We compare our deep learning optimization scheme with the classic grid search approach and show great improvement in both computational time and prediction accuracy.  ...  To this end, we propose a self-supervised approach to train a deep convolutional network to guess the correct set of Modified-SEIR model parameters, given the observed number of daily fatalities.  ...  Our purpose is to find a set of parameters that best approximate with a curve modelled by the modified SEIR, the real curve of daily number of fatalities.  ... 
arXiv:2006.12926v2 fatcat:ousmevuuj5eorjgc6t6bmywpte
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