Optimization and Root Finding (scipy.optimize)¶SciPy optimize provides functions for minimizing (or maximizing) objective functions, possibly subject to constraints. It includes solvers for nonlinear problems (with support for both local and global optimization algorithms), linear programing, constrained and nonlinear least-squares, root finding and curve fitting.
using modified optimization
Energy hub optimization using modified firefly algorithm Abstract: With the continuous increase of energy demand along with the congested transmission systems, distributed generation (DG) is suggested as a possible solution. In addition, with the limited fossil energy resources, the need for sustainable and environmentally friendly energy ...
In this example we try to fit the function = + using the Levenberg–Marquardt algorithm implemented in GNU Octave as the leasqr function. The graphs show progressively better fitting for the parameters =, = used in the initial curve. Only when the parameters in the last graph are chosen closest to the original, are the curves fitting exactly.
Jul 10, 2019· Abstract. In the present paper, bi-objective optimization of plate-fin heat exchanger (PFHE) is considered. An advanced optimization algorithms called TLBO, Jaya algorithm (JA), and its modified version known as self-adaptive Jaya algorithms are applied for the design and optimization …
In optimization problems we are looking for the largest value or the smallest value that a function can take. We saw how to solve one kind of optimization problem in the Absolute Extrema section where we found the largest and smallest value that a function would take on an interval. ... Page Last Modified : ...
May 03, 2009· A direct search method using genetic algorithms (DSGA), which seeks to directly find optimal parameters for prescribed operating policies, is utilized for optimization of multireservoir operational problems and several modifications are presented.
Using modified fruit fly optimisation algorithm to perform the function test and case studies Article in Connection Science 25(2-3):151-160 · June 2013 with 105 Reads How we measure 'reads'
PDF | On Jan 1, 2013, Mehrdad Tarafdar Hagh and others published Combined Heat and Power Dispatch using Modified Group Search Optimization Method
Scenario-Based Multi-Objective Optimum Allocation Model for Earthquake Emergency Shelters Using a Modified Particle Swarm Optimization Algorithm: A Case Study in Chaoyang District, Beijing, China
Hence to overcome this problem, we propose an OFACSC using modified invasive weed optimization algorithm to identify a set of the best fit QoS-aware cloud service compositions. The architecture of OFACSC using the Modified Invasive Weed Optimization algorithm is shown in Fig. 2. It consists of three phases: preprocessing, optimization, and test
Sep 18, 2019· Researchers at Purdue University and Tohoku University have built quasi-quantum "probabilistic computer" using a modified type of magnetoresistive random-access memory (MRAM) to approximate the ...
Jan 04, 2017· Improvement of Sensitivity and Noise of a Fluxgate Magnetometer using Modified Firefly Optimization Algorithm - written by O. W. Oluyombo, A. M. S. Tekanyi, S. M. Sani published on 2017/04/01 download full article with reference data and citations
Mar 15, 2019· The variable neighborhood radius concept realizes an intelligent search strategy for the modified HCA (MHCA) algorithm. This innovation, applied here to topology optimization design, makes the MHCA algorithm more functional to controlling plastic strain energy. ... Renaud JE (2006) Topology optimization using a hybrid cellular automaton method ...
Improvement of Sensitivity and Noise of a Fluxgate Magnetometer using Modified Firefly Optimization Algorithm - written by O. W. Oluyombo, A. M. S. Tekanyi, S. M. Sani published on 2017/04/01 download full article with reference data and citations
Particle swarm optimization (PSO) is a population based stochastic optimization technique developed by Dr. Eberhart and Dr. Kennedy in 1995, inspired by social behavior of flocking or fish schooling. PSO shares many similarities with evolutionary computation techniques such as Genetic Algorithms (GA).
Aug 30, 2013· We report the modified Debye model parameters for five metals obtained using a nonlinear optimization algorithm which are valid for a wide frequency range. The extracted parameters are expected to be useful for the integration of material properties in the simulation model and obtain more accurate results.
For solving the model, a modified antipredator particle swarm optimization algorithm is proposed, and the following work is done: (1) The algorithm considers the distance between the global worst particle and other particles, introduces the inertia weight to control the degree of particle movement, and constructs the formula by using the ...
We report the modified Debye model parameters for five metals obtained using a nonlinear optimization algorithm which are valid for a wide frequency range. The extracted parameters are expected to be useful for the integration of material properties in …
Using a bio-inspired algorithm for early detection of Parkinson's disease. • This work has proposed a Modified Grey Wolf Optimization algorithm (MGWO) to find the optimal subset of features search strategy. • The proposed algorithm has its application in the diagnosis of the Parkinson's disease. •
(2019). New framework for hyperspectral band selection using modified wind-driven optimization algorithm. International Journal of Remote Sensing: Vol. 40, No. 20, pp. 7852-7873.
Optimization of the entire fluxgate magnetometer is carried out using the analytical model that includes the sensor core, pick-up coil, and detection circuit. The analytical model is numerically solved using modified FOA to find the optimum fluxgate magnetometer configuration subject to a
International Journal of Computer Applications (0975 – 8887) Volume 167 – No.2, June 2017 29 Query Optimization using Modified Ant Colony Algorithm 1Ajay Wagh and 2Varsha Nemade 1Research Scholar, SVKM'S NMIMS, MPSTME, Shirpur Campus, Mahrashtra, India 2Assistant Professor, SVKM'S NMIMS, MPSTME, Shirpur Campus, Maharashtra, India Department of Computer Science & …
A modified bat algorithm with a new solution representation for both optimizing the weights and structure of ANNs is proposed.To improve the exploration and exploitation capability of bat algorithm some modifications based on chaotic map on bat algorithm are studied.The Taguchi method is used to tune the parameters of the algorithm.Six classifications and two time series benchmark datasets are ...
Enhanced removal of tetracycline using modified sawdust: Optimization, isotherm, kinetics, and regeneration studies. Author links open overlay panel Hosein Alidadi a Maryam Dolatabadi b Mojtaba Davoudi c Fateme Barjasteh-Askari c Farideh Jamali-Behnam b Ahmad Hosseinzadeh b. Show more.
Interoperability Optimization using a modified PSO algorithm. International Journal of Advanced Trends in Computer Science and Engineering, 2019. WARSE The World Academy of Research in Science and Engineering. maria zemzami.
Free Online Library: Optimal tuning of PID controller for AVR system using modified particle swarm optimization.(proportional integral derivative, Automatic Voltage Regulator, Report) by "Advances in Natural and Applied Sciences"; Science and technology, general Algorithms Analysis Electric power systems Genetic algorithms Mathematical optimization Optimization theory Swarm intelligence
Jan 10, 2018· The use of AOPs in removal of ciprofloxacin was found to be suitable, especially for UV/H 2 O 2, modified Fenton's and modified photo-Fenton's oxidation processes. The optimization of the concentration of H 2 O 2 and nZVI dose have helped in complete removal of ciprofloxacin. The use of photolysis is not feasible to completely remove ...
The posterior Cramér-Rao lower bound (PCRLB) is used as the basis for sensor management of LEO constellation. Moreover, a modified binary particle swarm optimization (MBPSO) algorithm is presented for use in finding the optimal allocation scheme of sensors for maximizing the tracking accuracy.
Colony Optimization and Particle Swarm Optimization. Keywords: Modified BAT, Echolocation, Velocity, loudness, frequency. 1. INTRODUCTION: 1.1 Phishing Phishing is a way of attempting to acquire sensitive information such as usernames, passwords and credit card details by masquerading as a trustworthy entity in an ...
May 26, 2019· OR-Transportation-5 | Unbalanced Problem using VAM | Optimization using Modified Distribution Aditya Classes Bikaner. Loading... Unsubscribe from Aditya Classes Bikaner?
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