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Comparison of Swarm Intelligence Algorithms for High Dimensional Optimization Problem

Samar Bashath, Amelia Ritahani Ismail
2018 Indonesian Journal of Electrical Engineering and Computer Science  
This paper presents a comprehensive study of two swarm intelligence based algorithms: 1-particle swarm optimization (PSO), 2-cuckoo search (CS).The two algorithms are analyzed and compared for problems  ...  <p>High dimensional optimization considers being one of the most challenges that face the algorithms for finding an optimal solution for real-world problems.  ...  results in figures 4,5, and 6 that the two algorithms PSO and CS had almost comparable results, i:e. for D ≤ 10 in all three functions.  ... 
doi:10.11591/ijeecs.v11.i1.pp300-307 fatcat:wmay3oqlrjdovmyi7y4qzae4te

Integral Image Based Fast Algorithm for Two-Dimensional Otsu Thresholding

Xianpeng Lang, Feng Zhu, Yingming Hao, Jinjun Ou
2008 2008 Congress on Image and Signal Processing  
We utilized integral image to simplify the redundant calculation for searching optimal threshold.  ...  However, the tremendous computation cost limited the application of two-dimensional Otsu algorithm in realtime situation. This paper addresses this problem and proposes a novel fast algorithm.  ...  In two-dimensional Otsu method, it is evident that the most time-consuming step is exhaustively searching two-dimensional histogram for optimal threshold vector, because the searching process includes  ... 
doi:10.1109/cisp.2008.179 fatcat:64bubs3u55dihacjl4anjktwau

Computation of maximized gust loads for nonlinear aircraft using matched-filter-based schemes

1993 Journal of Aircraft  
Concluding Remarks This article has presented two search procedures (one- dimensional and multidimensional) for obtaining maximized gust loads for a nonlinear airplane using MFT and constrained optimization  ...  Numerical Results This section presents numerical results for the one-dimen- sional and multidimensional search procedures.  ... 
doi:10.2514/3.46409 fatcat:g5g7kh4kgndqxasjhhhcw6xcbu

Multidimensional Scaling for Evolutionary Algorithms— Visualization of the Path through Search Space and Solution Space Using Sammon Mapping

Hartmut Pohlheim
2006 Artificial Life  
First, we present the visualization of the "path through the search space" of the best individuals during an optimization run.  ...  Space using SAMMON Mapping Abstract Multidimensional scaling as a technique for the presentation of high-dimensional data with standard visualization techniques is presented.  ...  Instead, a low-dimensional configuration as similar as possible to the high-dimensional configuration is searched for.  ... 
doi:10.1162/artl.2006.12.2.203 pmid:16539764 fatcat:gwdwknuwqjc7fpzh6l6vw6h3yq

Multidimensional Scaling for Evolutionary Algorithms—Visualization of the Path through Search Space and Solution Space Using Sammon Mapping

Hartmut Pohlheim
2006 Artificial Life  
First, we present the visualization of the "path through the search space" of the best individuals during an optimization run.  ...  Space using SAMMON Mapping Abstract Multidimensional scaling as a technique for the presentation of high-dimensional data with standard visualization techniques is presented.  ...  Instead, a low-dimensional configuration as similar as possible to the high-dimensional configuration is searched for.  ... 
doi:10.1162/106454606776073305 pmid:16539764 fatcat:3tuamflw3jharntesdusz3rlf4

Optimizing Network Anomaly Detection Based on Network Traffic

Vu Ngoc Son, Information Assurance dept. FPT University, Hanoi, Vietnam
2021 International Journal of Emerging Technology and Advanced Engineering  
The experimental results show that the model using optimized features has brought an apparent and better effect than models that have not reduced the feature dimension.  ...  In this paper, we propose to apply two methods of optimizing cyber-attack detection based on the IDS 2018 dataset using Principal Component Analysis (PCA) and machine learning algorithms.  ...  We choose to use two dimensionality reduction methods: PCA algorithm [2, 3] ; Random Search and Grid Search algorithms [4, 5] . II.  ... 
doi:10.46338/ijetae1121_07 fatcat:lsmyeel4lfa6zd6vk5gc6vaimy

Comparison of Genetic Algorithm (GA) and Particle Swarm Optimization Algorithm (PSO) for Discrete and Continuous Size Optimization of 2D Truss Structures

Mahmood Akbari, Mojtaba Henteh
2019 Journal of Soft Computing in Civil Engineering  
The aim of this study is discrete and continuous size optimization of two-dimensional truss structures with the fixed topology and the shape.  ...  In this study, the optimization of four two-dimensional trusses including the Six-node, 10-member truss, the Eight-node, 15-member truss, the Nine-node, 17-member truss and the Twenty-node, 45-member truss  ...  presented so far is presented with the results of this research.  ... 
doi:10.22115/scce.2019.195713.1117 doaj:a9c29b06d0d1443f9f1432642f44f9b2 fatcat:z3xakun4xvf47ach6r3jihw4dq

Intelligent Feature Selection Methods: A Survey

Noor Jameel, Hasanen S. Abdullah
2021 Engineering and Technology Journal  
In modern times, however, it uses the intelligent methods, Genetic algorithm and swarm optimization methods Ant colony, Bees colony, Cuckoo search, Particle optimization, fish algorithm, cat algorithm,  ...  In this paper survey it used the Some the swarm intelligent method: Ant colony, Bees colony, Cuckoo search, Particle optimization and Genetic algorithm (GA).  ...  In this the survey paper we present many of intelligent swarm algorithm, in feature selection, in the part two we present Ant colony, Bees colony, Enhance Cuckoo search optimization, Particle swarm intelligent  ... 
doi:10.30684/etj.v39i1b.1623 fatcat:zwxec6ev7fcnzmouubanmpncfm

Hand Posture Subspaces for Dexterous Robotic Grasping

Matei T. Ciocarlie, Peter K. Allen
2009 The international journal of robotics research  
We begin by discussing the applicability of a hand configuration subspace to the problem of automated grasp synthesis1 our results show that low-dimensional optimization can be instrumental in deriving  ...  We present an on-line grasp planner that allows a human operator to perform dexterous grasping tasks using an artificial hand.  ...  We have presented a low-dimensional hand posture optimization method applied for stable grasp synthesis1 the results show that, while not containing exact grasping postures, a two-dimensional eigengrasp  ... 
doi:10.1177/0278364909105606 fatcat:3m7cic2dorgjjgieylxg7pdz2q

SEMICLASSICAL FORMULATION OF OPTIMAL CONTROL THEORY

ALEXEY KONDORSKIY, HIROKI NAKAMURA
2005 Journal of Theoretical and Computational Chemistry  
In the present paper semiclassical formulation of optimal control theory is made by combining the conjugate gradient search method with new approximate semiclassical expressions for correlation function  ...  The efficiency of the method is demonstrated by controlling nuclear wave packet motion in a two-dimensional model system.  ...  In the present work semiclassical formulation of optimal control theory is made by combining conjugate gradient search method with new approximate semiclassical expressions for correlation function [12  ... 
doi:10.1142/s0219633605001416 fatcat:wzuq4qj7hve2jeb7lgc54pcj3i

Multi-slicing strategy for the three-dimensional discontinuity layout optimization (3D DLO)

Yiming Zhang
2016 International journal for numerical and analytical methods in geomechanics (Print)  
Discontinuity layout optimization (DLO) is a recently presented topology optimization method for determining the critical layout of discontinuities and the associated upper bound limit load for plane two-dimensional  ...  and three-dimensional (3D) problems.  ...  P 25614 'Adaptive Discontinuity Layout Optimization'.  ... 
doi:10.1002/nag.2566 pmid:28303076 pmcid:PMC5324696 fatcat:a7qi44w6rvdxhhgvdu2oueteki

Retrieving Targeted Results from a Static File Repository using a Keyword matching Mechanism relying on a Cluster-based Algorithm

Madalina ZURINI, Diana BUTUCEA
2013 Database Systems Journal  
An optimization model is proposed in order to reduce the time consuming component in regards to the minimization of differences in the quality of the documents resulted in the automatic search using a  ...  two documents, by the recurrence of the closest k documents to the one being the element of interest - reaching the optimal alternative in case of a performance oriented point of view.  ...  In the situation of optimized searching algorithm using grid based separation, the results are presented in figure 7.  ... 
doaj:73c31753f57d433cbe4e8e12e657752d fatcat:jisuc4gfdzbfnfspjiz35cxmii

GA-Based Inference of Euler Angles for Single Particle Analysis [chapter]

Shusuke Saeki, Kiyoshi Asai, Katsutoshi Takahashi, Yutaka Ueno, Katsunori Isono, Hitoshi Iba
2003 Lecture Notes in Computer Science  
The best search, the worst search, and the average in ten trial are displayed. The last result was further optimized by the steepest descent method.  ...  When the result of global search is 0.92 in a RMSD value, the result of sequential additive search is 0.63 in a RMSD value.  ... 
doi:10.1007/3-540-45110-2_122 fatcat:2vm524htarbwzihfiwssqh7boi

A new hybrid algorithm for optimization based on artificial fish swarm algorithm and cellular learning automata

Danial Yazdani, Sara Golyari, Mohammad Reza Meybodi
2010 2010 5th International Symposium on Telecommunications  
to optimize the D-dimensional search space.  ...  Experimental results show that presented method has an acceptable performance.  ...  Experiments were repeated 100 times and average results, best results and their standard deviation in 10-dimensional space and 30-dimensional space is presented in tables 2 and 3, respectively.  ... 
doi:10.1109/istel.2010.5734156 fatcat:vljer6ccivfvvpevxtxcpn6uda

Evolutionary Computation for Large-scale Multi-objective Optimization: A Decade of Progresses

Wen-Jing Hong, Peng Yang, Ke Tang
2021 International Journal of Automation and Computing  
This paper reviews the progress of evolutionary computation for large-scale multi-objective optimization from two angles.  ...  From the perspective of methodology, the large-scale MOEAs are categorized into three classes and introduced respectively: divide and conquer based, dimensionality reduction based and enhanced search-based  ...  If two or more decision variables with high correlation are assigned to different species populations and optimized separately, the search direction of the algorithm may be misleading, resulting in performance  ... 
doi:10.1007/s11633-020-1253-0 fatcat:q636cuvarbco7kmnvthnfysa54
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