Search Results - Unconstrained optimization functions

A New Hybrid Algorithm Based on Grey Wolf Optimization and Crow Search Algorithm for Unconstrained Function Optimization and Feature Selection by Arora, Sankalap, Singh, Harpreet, Sharma, Manik, Sharma, Sanjeev, Anand, Priyanka

“… to achieve global optima efficiently. In order to validate the competence of the proposed hybrid GWOCSA, a widely utilized set of 23 benchmark test functions having a wide range of dimensions and varied complexities is used in this paper…”
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Chaos and intensification enhanced flower pollination algorithm to solve mechanical design and unconstrained function optimization problems by Ozsoydan, Fehmi Burcin, Baykasoglu, Adil

“…•Intensifying step size function for a more detailed search.•Statistically verified results and improved search efficiency…”
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An efficient algorithm via a novel one-parameter filled function based on general univariate functions for unconstrained global optimization by Sun, Guanglei, Shang, Youlin, Wang, Xiaoqiang, Zhang, Roxin, Qu, Deqiang

“…The global optimization algorithm based on filled function is considered to be effective for solving global optimization problems, attracting significant attention from scholars due to its strong…”
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Improved symbiotic organisms search algorithm for solving unconstrained function optimization by Nama, Sukanta, Saha, Apu Kumar, Ghosh, Sima

“… This paper proposes an Improved Symbiotic Organisms Search (I-SOS) algorithm for solving different complex unconstrained global optimization problems…”
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Chaotic Harris Hawks Optimization for Unconstrained Function Optimization by Ibrahim, Abdelhameed, Ali, Hesham Arafat, Eid, Marwa M., El-kenawy, El-Sayed M.

“… An algorithm, Chaotic Harris Hawks Optimization (CHHO), is proposed in this work for the unconstrained function optimization…”
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Unconstrained Optimization of Real Functions in Complex Variables by Sorber, Laurent, Barel, Marc Van, Lathauwer, Lieven De

“… Optimization of these problems often requires a first- or second-order approximation of the objective function to generate a new step or descent direction…”
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The Fast Forward Quantum Optimization Algorithm: A study of convergence and novel unconstrained optimization by Singh, Pritpal

“… However, there has been no comprehensive study to investigate the convergence behavior and performance of FFQOA on standard optimization test functions…”
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Dipper Throated Optimization Algorithm for Unconstrained Function and Feature Selection by E. Takieldeen, Ali, M. El-kenawy, El-Sayed, Hadwan, Mohammed, M. Zaki, Rokaia

“…), Whale Optimization Algorithm (WOA), Grey Wolf Optimizer (GWO), and Genetic Algorithm (GA) based on the seven unimodal benchmark functions…”
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Assessment of a Consolidated Algorithm for Constrained Engineering Design Optimization and Unconstrained Function Optimization by Oladipo, Stephen, Sun, Yanxia

“… The major objective of this work is to assess the application of a consolidated algorithm in addressing constrained and unconstrained function optimization problems…”
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Multithreaded Parallel Dual Population Genetic Algorithm (MPDPGA) for unconstrained function optimizations on multi-core system by Umbarkar, A.J., Joshi, M.S., Hong, Wei-Chiang

“…), student t-test, mean function evaluation and success rate of MPDPGA is better than serial DPGA (SDPGA) and simple GA (SGA)…”
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A dimensionality reduction technique for unconstrained global optimization of functions with low effective dimensionality by Cartis, Coralia, Otemissov, Adilet

“…Abstract We investigate the unconstrained global optimization of functions with low effective dimensionality, which are constant along certain (unknown) linear subspaces…”
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FIREWORKS ALGORITHM FOR UNCONSTRAINED FUNCTION OPTIMIZATION PROBLEMS by BAIDOO, Evans

“… This paper presents an object-oriented software application that implements a firework optimization algorithm for function optimization problems…”
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FIREWORKS ALGORITHM FOR UNCONSTRAINED FUNCTION OPTIMIZATION PROBLEMS by Evans BAIDOO

“… This paper presents an object-oriented software application that implements a firework optimization algorithm for function optimization problems…”
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A comparative study of a teaching–learning-based optimization algorithm on multi-objective unconstrained and constrained functions by R. Venkata Rao, G.G. Waghmare

“…Multi-objective optimization is the process of simultaneously optimizing two or more conflicting objectives subject to certain constraints…”
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A New Class of Filled Functions with Two Parameters for Solving Unconstrained Global Optimization Problems: A New Class of Filled Functions with Two Parameters ⋯\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\cdots $$\end{document} by Chen, Qiao, Yang, Xin-Min, Yan, Qian

“…A new class of filled functions for escaping the current local minimizer of unconstrained global optimization is proposed…”
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Stretching Function Technique Based on The Filled Function Algorithm for Solving Unconstrained Global Optimization Problem: The Univariate Case by Pandiya, Ridwan, Iryanti, Emi

“…This paper intends to develop a new integral-filled function method with four properties…”
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Nonlinear conjugate gradient methods for unconstrained set optimization problems whose objective functions have finite cardinality by Kumar, Krishan, Ghosh, Debdas, Yao, Jen-Chih, Zhao, Xiaopeng

“…In this paper, we propose nonlinear conjugate gradient methods for unconstrained set optimization problems in which the objective function is given by a finite number of continuously differentiable…”
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A Double-Parameter Scaling Broyden–Fletcher–Goldfarb–Shanno Method Based on Minimizing the Measure Function of Byrd and Nocedal for Unconstrained Optimization by Andrei, Neculai

“… These scaling parameters are determined by minimizing the measure function introduced by Byrd and Nocedal…”
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New chaotic flower pollination algorithm for unconstrained non-linear optimization functions by Kaur, Arvinder, Pal, Saibal K., Singh, Amrit Pal

“… A new chaotic flower pollination algorithm (CFPA) has been proposed in this work. Further FPA and its four proposed variants by using different chaotic maps are tested on nine mathematical benchmark functions of high dimensions…”
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A new parameter free filled function for solving unconstrained global optimization problems by Ahmed, A. I.

“…The filled function method is an efficient approach for finding a global minimizer of global optimization problems…”
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