A Dual-Objective Approach for Allocation of Virtual Machine with improved Job Scheduling in Cloud Computing

Sandeep Sutar,Manjunathswamy Byranahallieraiah,Kumarswamy Shivashankaraiah

#Cloud computing #job scheduling #VM scheduling #cost optimization #energy utilization #dual objectives

Speech Scrambling based on Independent Component Analysis and Particle Swarm Optimization

Nidaa Abbas,Jahanshah Kabudian

#ICA #itakura-saito distance #LPC #PSO #speech scrambling #SNR

TSO Clustered Protocol to Extend Lifetime of IoT Based Mobile Wireless Sensor Networks

Giji Kiruba Dasebenezer,Benita Joselin

#MWSN #clustering #sensor nodes #TSO #PSO

Optimization and Comparative Analysis of Quarter-Circular Slotted Microstrip Patch Antenna Using Particle Swarm and Fruit Fly Algorithms

Esin Karpat,Fatih Imamoglu

#Microstrip antenna design #particle swarm optimization #fruit fly optimization

Evolutionary Computing Model for Finding Breast Cancer Masses using Image Enhancement Procedures with Artificial Intelligent Algorithms

Dhivya Samraj,Kuppuchamy Ramasamy,Muralidharan Karuppusamy

#Image enhancement #breast cancer #histogram equalization #particle swarm optimization #analysis

Brain Tumor Segmentation in MRI Images Using Integrated Modified PSO Fuzzy Approach

Abstract: An image segmentation technique based on maximum fu zzy entropy is applied for Magnetic Resonance (MR) brain

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Speed up of Reindexing in Adaptive Particle Swarm Optimization

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211

Rangan Kodandaram, Shashank Mallikarjun, Manikantan Krishnamuthan, and Ramachandran Sivan

# FR # feature extraction # discrete wavelet transform # DCT # feature selection # BPSO

Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Iran

# CGA # optimization problem # chaos evolutionary algor ithm

Sajid Khan1, Muhammad Nazir2, Naveed Riaz3 and Muhammad Khan4

# Gender classification # feature extraction # pattern recognition # active shape model # real world face im ages

Jin-long Zhu1, Wenhui Li2, Huiying Li2, Qiong Wu2, and Liang Zhang2 1Department of Computer Science and Technology, ChangChun Normal University, China 2Department of Computer Science and Technology, Jilin University, China

#PSO # filled function # global optimum # local optimum

Cuckoo Search with Mutation for Biclustering of

Department of Computer Science and Engineering, Bannari Amman Institute of Technology, India

#Biclustering # CS # BPSO # SFL # levy flight # gene expression data # mutation

Medical Image Segmentation With Fuzzy C-Means

Anusuya Venkatesan1 and Latha Parthiban2 1Department of Information Technology, Saveet ha School of Engineering, India 2Department of Computer Science, Pondicherry University, India

#Medical image segmentation # c lustering # FCM # KFCM # PSO #QPSO and DBI

MR Brain Image Segmentation Using an Improved Kernel Fuzzy Local Information C-Means Based

Methods

#Image segmentation # outlier rejection # FCM # PSO # spatial fuzzy clustering # wavelet transform # level set methods

Hidden Markov Random Fields and Particle

Laboratoire des Méthodes de Conception des Systèmes-Ecole Nationale Supérieure en Informatique,

#Brain image segmentation # hidden markov random field # swarm particles optimization # dice coefficient

Hybrid Metaheuristic Algorithm for Real Time

Poongothai Marimuthu, Rajeswari Arumugam, and Jabar Ali

#Multiprocessors # task assignment # heterogeneous processors # ant colony optimization # real time systems

Hybrid Algorithm with Variants for Feed Forward

Abstract: Levenberg-Marquardt back-propagation algorithm, as a Feed forward Neural Network (FNN) training method, has

#Back propagation # hybrid algorithm # levenberg-marquardt # Particle swarm optimization # variants of PSO algorithm

Training of Fuzzy Neural Networks via Quantum- Behaved Particle Swarm Optimization and Rival

Saeed Farzi

#Fuzzy RBF # RPCL # PSO

Parameter Optimization of Single Sample Virtually Expanded Method

Xiaoxia Zhao1, Wenjun Meng1, Jinhu Su1, Yuxuan Chen2

#Bootstrap method # semiempirical evaluation method # single sample # augmented parameter # minimax # particle swarm optimization (PSO)

Self-Adaptive PSO Memetic Algorithm For Multi Objective Workflow Scheduling in Hybrid Cloud

Padmaveni Krishnan and John Aravindhar

#Cloud computing # memetic algorithm # particle swarm optimization # self-adaptive particle swarm memetic algorithm