How to write an effective e-mail copy
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Great model a model for the automatic generation of semantic relations betwee...
Great model a model for the automatic generation of semantic relations betwee...ijcsity The
large
a
v
ailable
am
ou
n
t
of
non
-
structured
texts
that
b
e
-
long
to
differe
n
t
domains
su
c
h
as
healthcare
(e.g.
medical
records),
justice
(e.g.
l
a
ws,
declarations),
insurance
(e.g.
declarations),
etc. increases
the
effort
required
for
the
analysis
of
information
in
a
decision making
pro
-
cess.
Differe
n
t
pr
o
jects
and t
o
ols
h
av
e
pro
p
osed
strategies
to
reduce
this
complexi
t
y
b
y
classifying,
summarizing
or
annotating
the
texts.
P
artic
-
ularl
y
,
text
summary
strategies
h
av
e
pr
ov
en
to
b
e
v
ery
useful
to
pr
o
vide
a
compact
view
of
an
original
text.
H
ow
e
v
er,
the
a
v
ailable
strategies
to
generate
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summaries
do
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fit
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lies
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natural
language
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cessing
and
text
mining
te
c
hniques
to
extract
the
most
rele
v
a
n
t
information
from
narrati
v
e
texts
and
disc
o
v
er
new
in
-
formation
from
the
detection
of
related
information. GRe
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o
del
w
as impleme
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ted
on
sof
tw
are
to
b
e
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health
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sh
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b
ou
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medical
health
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disc
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Se
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Usabili
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ell
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obtained
b
y
pr
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viding
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text
more
shorter than
the
original
HARDWARE SOFTWARE CO-SIMULATION FOR TRAFFIC LOAD COMPUTATION USING MATLAB SIM...
HARDWARE SOFTWARE CO-SIMULATION FOR TRAFFIC LOAD COMPUTATION USING MATLAB SIM...ijcsity Due to increase in number of vehicles, Traffic is a major problem faced in urban areas throughout the
world. This document presents a newly developed Matlab Simulink model to compute traffic load for real
time traffic signal control. Signal processing, video and image processing and Xilinx Blockset have been
extensively used for traffic load computation. The approach used is Edge detection operation, wherein,
Edges are extracted to identify the number of vehicles. The developed model computes the results with
greater degrees of accuracy and is capable of being used to set the green signal duration so as to release
the traffic dynamically on traffic junctions.
Xilinx System Generator (XSG) provides Simulink Blockset for several hardware operations that could be
implemented on various Xilinx Field programmable gate arrays (FPGAs). The method described in this
paper involves object feature identification and detection. Xilinx System Generator provides some blocks to
transform data provided from the software side of the simulation environment to the hardware side. In our
case it is MATLAB Simulink to System Generator blocks. This is an important concept to understand in the
design process using Xilinx System Generator. The Xilinx System Generator, embedded in MATLAB
Simulink is used to program the model and then test on the FPGA board using the properties of hardware
co-simulation tools.
Feature extraction based retrieval of
Feature extraction based retrieval ofijcsity This project is to retrieve the similar geographic images from the dataset based on the features extracted.
Retrieval is the process of collecting the relevant images from the dataset which contains more number of
images. Initially the preprocessing step is performed in order to remove noise occurred in input image with
the help of Gaussian filter. As the second step, Gray Level Co-occurrence Matrix (GLCM), Scale Invariant
Feature Transform (SIFT), and Moment Invariant Feature algorithms are implemented to extract the
features from the images. After this process, the relevant geographic images are retrieved from the dataset
by using Euclidean distance. In this, the dataset consists of totally 40 images. From that the images which
are all related to the input image are retrieved by using Euclidean distance. The approach of SIFT is to
perform reliable recognition, it is important that the feature extracted from the training image be
detectable even under changes in image scale, noise and illumination. The GLCM calculates how often a
pixel with gray level value occurs. While the focus is on image retrieval, our project is effectively used in
the applications such as detection and classification.
Persian character recognition using new
Persian character recognition using newijcsity Character recognition is a new research field in the domain of pattern recognition which deals with the
style of writing. Some of the challengeable problems in character identification are changing in the style of
writing, font and turns of words and etc. In this paper, the goal is Persian character identification using
independent orthogonal moment as the feature extraction technique.The proposed feature extraction
method is the combination of Pseudo-Zernike Moment and Fourier-Mellin Moment called Pseudo-Zernike-
Mellin Moment to extract feature vector from Persian characters. The proposed character identification
system is evaluated on the HODA dataset and obtained 97.76% acceptance rate.
Cancer recurrence prediction using
Cancer recurrence prediction usingijcsity Cancer is one of the deadliest diseases in the world and is responsible for around 13% of all deaths worldwide.
Cancer incidence rate is growing at an alarming rate in the world. Despite the fact that cancer is
preventable and curable in early stages, the vast majority of patients are diagnosed with cancer very late.
Furthermore, cancer commonly comes back after years of treatment. Therefore, it is of paramount
importance to predict cancer recurrence so that specific treatments can be sought. Nonetheless,
conventional methods of predicting cancer recurrence rely solely on histopathology and the results are not
very reliable. The microarray gene expression technology is a promising technology that couldpredict
cancer recurrence by analyzing the gene expression of sample cells. The microarray technology allows
researchers to examine the expression of thousands of genes simultaneously. This paper describes a stateof-
the-art machine learning based approach called averaged one-dependence estimators with subsumption
resolution to tackle the problem of predicting, from DNA microarray gene expression data, whether a
particular cancer will recur within a specific timeframe, which is usually 5 years. To lower the
computational complexity, we employ an entropy-based geneselection approach to select relevant
prognosticgenes that are directly responsible for recurrence prediction. This proposed system has achieved
an average accuracy of 98.9% in predicting cancer recurrence over 3 datasets. The experimental results
demonstrate the efficacy of our framework.
A Fresh Look at Google Analytics
A Fresh Look at Google AnalyticsJon Parks Google Analytics is a great tool, but do you know how to get the data you need to make intelligent digital marketing decisions? In this presentation I delivered at the Triangle American Marketing Association 2013 Funnel Fuel conference in Raleigh, NC, I took a look at some of the newer reports available in Google Analytics and how they can be used to solve common digital marketing problems.
Introducing OfficeBox (Oct.2013)
Introducing OfficeBox (Oct.2013)Jiransoft OfficeBox provides a secure private cloud storage solution for businesses with the following key features:
1) It integrates all company files into a secured private cloud storage system called OfficeBox for efficient file management from any device.
2) OfficeBox allows real-time monitoring of file, file link, and login activity to control access and reinforce security.
3) Users can access all their data securely from any mobile device through OfficeBox's mobile apps. File sharing and collaboration both internally and externally is enabled through shared folders and guest folders.
Mine Blood Donors Information through Improved K-Means Clustering
Mine Blood Donors Information through Improved K-Means Clusteringijcsity The number of accidents and health diseases which are increasing at an alarming rate are resulting in a huge increase in the demand for blood. There is a necessity for the organized analysis of the blood donor database or blood banks repositories. Clustering analysis is one of the data mining applications and K-means clustering algorithm is the fundamental algorithm for modern clustering techniques. K-means clustering algorithm is traditional approach and iterative algorithm. At every iteration, it attempts to find the distance from the centroid of each cluster to each and every data point. This paper gives the improvement to the original k-means algorithm by improving the initial centroids with distribution of data. Results and discussions show that improved K-means algorithm produces accurate clusters in less computation time to find the donors information
AN ENERGY EFFICIENT COUNTERMEASURE AGAINST MULTIPLE ATTACKS OF THE FALSE DATA...
AN ENERGY EFFICIENT COUNTERMEASURE AGAINST MULTIPLE ATTACKS OF THE FALSE DATA...ijcsity Nodes are easily exposed from generated attacks on various layers because they compose simple functions in sensor networks. The false data injection attack drains finite energy resource in a compromised node,and the false HELLO flood attack threatens constructed routing paths in an adversary node. A localized encryption and authentication protocol (LEAP) was developed to prevent the aforementioned attacks through the use of four keys. However, when these attacks occur simultaneously, LEAP may not prevent damage from spreading rapidly throughout the network. In this paper, we propose a method that addresses these attacks through the use of four types of keys, including two new keys. We also improve energy consumption while maintaining a suitable security level. The effectiveness of the proposed method was evaluated relative to that of LEAP when multiple attacks occur. The experimental results reveal that the proposed method enhances energy saving by up to 12% while maintaining sufficient detection power
Timeline
Timelinekris22edwards This document summarizes the history of Wacom from 1986 to 2010. It outlines key product releases and developments for the company over this time period, including the release of their first tablet in 1986, establishing headquarters in Germany in 1988, and introducing various graphics tablet and pen display models throughout the 1990s-2000s to target both professional and consumer markets. The timeline shows Wacom's growth from their early miniature tablets to developing pen input technologies adopted by major laptop manufacturers.
An intro to google ad words keyword planner tool
An intro to google ad words keyword planner toolJon Parks Are you familiar with the new Google AdWords Keyword Planner tool that replaced the old Keyword Tool and Traffic Estimator? I delivered a Webinar on Friday, October 4 for ASPE ROI providing an overview of the new Keyword Planner and presenting 5 "keys" to success with this new tool to help you manage your AdWords campaigns.
34번 서누리 예방논문1 발표
34번 서누리 예방논문1 발표Benedict Choi Multi-function toothpastes provide several benefits for oral health beyond just cleaning teeth. They can [1] interact with tooth structure chemically, reduce demineralization, interfere with bacterial adhesion, and provide antibacterial action. Toothpastes also [2] prevent supragingival calculus formation, promote remineralization, and reduce dentinal hypersensitivity. Fluoridated toothpastes are effective at preventing caries when used daily and are now included in over 90% of toothpastes worldwide. Toothpastes also help chemotherapeutically prevent bacterial biofilms and gingivitis, control calculus formation, whiten teeth, and reduce breath malodour. For maximum effectiveness,
How to be happy
How to be happyStream Group A great presentation about, how to be happier during un unhappy time. It was really usefull for me, so I hope it will be so for you. : )
Introducing view too v.2.1
Introducing view too v.2.1Jiransoft ViewToo is an online meeting application that allows users to share their screens from cloud storage services with multiple attendees via a single link. It offers simple one-click meetings without registration through customizable meeting codes. Files can be shared and annotated during meetings across devices on Android, iOS, and desktop. Common use cases include online consultations, sharing class presentations, and conducting international meetings from anywhere.
Office box user_guide_v3.0
Office box user_guide_v3.0Jiransoft OfficeBox allows users to store and share files online. Key features include My Folder for personal files, Shared Folders for collaboration, and Guest Folders that allow others limited access to a user's storage space. File links can be created to share individual files or folders without creating a guest account. The user interface provides access to these folders and tools for uploading, downloading, and managing files.
Novel text categorization by amalgamation of augmented k nearest neighbourhoo...
Novel text categorization by amalgamation of augmented k nearest neighbourhoo...ijcsity Machine learning for text classification is the
underpinning
of document
cataloging
, news filtering,
document
steering
and
exemplif
ication
. In text mining realm, effective feature selection is significant to
make the learning task more accurate and competent. One of the
traditional
lazy
text classifier
k
-
Nearest
Neighborhood (
k
NN) has
a
major pitfall in calculating the similarity between
all
the
objects in training and
testing se
t
s,
there by leads to exaggeration of
both
computational complexity
of the algorithm
and
massive
consumption
of
main memory
. To diminish these shortcomings
in
viewpoint
of a
data
-
mining
practitioner
a
n
amalgamati
ve technique is proposed in this paper using
a novel restructured version of
k
NN called
Augmented
k
NN
(AkNN)
and
k
-
Medoids
(kMdd)
clustering.
The proposed work
comprises
preprocesses
on
the
initial training
set
by
imposing
attribute feature selection
for reduc
tion of high dimensionality, also it
detects and excludes the high
-
fliers
samples
in t
he
initial
training set
and
re
structure
s
a
constricted
training
set
.
The kMdd clustering algorithm generates the cluster centers (as interior objects) for each category
and
restructures
the constricted training set
with centroids
. This technique
is
amalgamated with
AkNN
classifier
that
was prearranged with
text mining similarity measure
s.
Eventually, s
ignifican
tweights
and ranks were
assigned to each object in the new
training set based upon the
ir
accessory towards the
object in testing set
.
Experiments
conducted
on Reuters
-
21578 a
UCI benchmark
text mining
data
set
, and
comparisons with
traditional
k
NN
classifier designates
the
referred
method
yield
spreeminentrecital
in b
oth clustering and
classification
What is Personal Branding
What is Personal BrandingJon Parks Personal branding is all the rage. But what does it really mean. And, more importantly, how can you get started? In this presentation I delivered during a lunch session at Atlantic BT, I provided an overview of the topic and explained what I see as the three critical components of a solid personal branding strategy.
Atlantic BT conducts a weekly lunch and learn session for our team members on a variety of topics. The aim is to create a knowledgeable workforce that is up-to-date on the latest topics in our industry.
Convergence tendency of genetic algorithms and artificial immune system in so...
Convergence tendency of genetic algorithms and artificial immune system in so...ijcsity By the advances in the Evolution Algorithms (EAs) and the intelligent optimization metho
ds we witness the
big revolutions in solving the optimization problems. The application of the evolution algorithms are not
only not limited to the combined optimization problems, but also are vast in domain to the continuous
optimization problems. In this
paper we analyze and study the Genetic Algorithm (GA) and the Artificial
Immune System (AIS)
algorithm
which are capable in escaping the local optimization and also fastening
reaching the global optimization and to show the efficiency of the GA and AIS th
e application of them in
Solving Continuous Optimization Functions (SCOFs) are studied. Because of the multi variables and the
multi
-
dimensional spaces in SCOFs the use of the classic optimization methods, is generally non
-
efficient
and high cost. In other
words the use of the classic optimization methods for SCOFs generally leads to a
local optimized solution. A possible solution for SCOFs is to use the EAs which are high in probability of
succeeding reaching the local optimized solution. The results in pa
per show that GA is more efficient than
AIS in reaching the optimized solution in SCOFs.
Unlocking Customer Engagement with WhatsApp Business API
Unlocking Customer Engagement with WhatsApp Business APIG Tech Web Marketing This infographic provides a clear and concise overview of the WhatsApp Business API, highlighting how businesses can use it to automate conversations, send timely notifications, and deliver personalized customer support at scale. It covers key features, integration benefits, and real-world use cases to help companies streamline communication and boost customer satisfaction.
Beyond ROAS: Aligning Google Ads With Your True Business Objectives
Beyond ROAS: Aligning Google Ads With Your True Business ObjectivesSearch Engine Journal How do you make every PPC ad dollar deliver more?
What if your Google Ads strategy could align with lifetime value, not just cost per acquisition (CPA)?
Are you using value-based bidding to its full potential?
If not, don’t worry. In this upcoming webinar, you’ll get:
Smarter ways to measure PPC success.
Tested, powerful bidding strategies.
Real, bigger business impact.
These insights will help you shift focus from vanity metrics to meaningful results, like revenue, customer lifetime value, and long-term growth.
Learn How To Get More From Every Ad Dollar
Check out to explore how today’s most advanced Google Ad strategies align with what actually drives business performance.
You’ll Learn To:
-Understand what newly updated smart bidding can do.
-Leverage first-party data to maximize value-based bidding.
-Use testing frameworks to refine and scale what works.
Optimize for outcomes that matter, not just metrics that look good.
Watch Justin Covington, Director of Paid Channels Solutions at iQuanti, as he breaks down the Google Ads changes and show you how to use value-based bidding to drive measurable results.
From campaign structure to audience strategy, you’ll leave this webinar with practical steps you can apply immediately to start optimizing your paid ads for the metrics that matter most.
Why Digital Marketing is Essential for Modern Businesses.pptx
Why Digital Marketing is Essential for Modern Businesses.pptxmarketingtagsnticks In this SlideShare presentation, discover why digital marketing is essential for modern businesses and how it plays a vital role in brand visibility, lead generation, and customer engagement. Learn the core components of a successful digital strategy, including SEO, social media optimization, Google Ads, and content marketing.
We also highlight the services offered by Tags N Ticks, a full-service digital marketing agency helping startups, small businesses, and enterprises achieve measurable online growth. Whether you're looking to improve your website traffic, build your brand, or increase your ROI, this guide covers everything you need to know.
visit for more info
What is Earned Media Brand Building Benefits.pdf
What is Earned Media Brand Building Benefits.pdfMarketing Partner In today’s fast-paced digital world, businesses are constantly looking for ways to gain visibility and credibility. While paid and owned media play a role, earned media is often the most valuable asset in a brand’s marketing strategy. But what exactly is earned media, and why does it matter?
Beyond the Pain Points: A More Meaningful Customer Journey
Beyond the Pain Points: A More Meaningful Customer JourneyOdyyc Discover how tailored messaging, strategic content, and data-backed segmentation can transform the way your brand connects with its audience. This presentation and case study from Odyyc explores how understanding user intent and behavior leads to more effective content—and ultimately, more meaningful results.
📋 What You’ll Learn in This Case Study For a Recruiting Agency:
✔ The Strategy Framework
Get a step-by-step breakdown of Odyyc’s approach to building content and CX strategies grounded in both business goals and user needs.
✔ User Personas Across Industries
Explore detailed personas for biotech, pharma manufacturing, medical devices, and SaaS—each with unique hiring challenges and decision-making profiles.
✔ Market Segmentation & Strategic Prioritization
Learn how segments are plotted using growth, volume, and business fit—leading to smarter prioritization using tools like the BCG matrix.
✔ SEO & Content Mapping
See how segmented, intent-driven SEO keywords align with each persona’s journey—from awareness to conversion.
✔ Customer Journey Mapping
Follow how touchpoints—from blog articles to LinkedIn campaigns—are aligned with the decision-making phases of different buyer types.
✔ Real-World Messaging & Execution
View examples of tailored messaging, content zoning, and landing page structure—all designed to reduce friction and build trust.
Who it's for:
Content strategists
CX professionals
B2B marketers
SaaS and life sciences companies
Recruitment Agencies
Anyone working to improve user journeys through segmentation
How to Use Roll-Up Banners for Brand Visibility at Events.pdf
How to Use Roll-Up Banners for Brand Visibility at Events.pdfEzybook Discover effective ways to use roll-up banners for boosting brand visibility at events. Learn placement tips, design essentials, and strategic messaging to attract attention and leave a lasting impression on your audience
Alt Attribute SEO Guide: How to Optimize Image Alt Text for Search
Alt Attribute SEO Guide: How to Optimize Image Alt Text for SearchSanjay Kumar Monu This comprehensive PDF guide explains everything you need to know about the alt attribute—an essential yet often overlooked element of SEO and accessibility. Whether you're an SEO beginner or a web development professional, this document walks you through the practical value of image alt text, how to write it properly, and why it matters.
Inside, you’ll learn:
What an alt attribute is and where it appears in your website’s HTML
Why alt text is vital for SEO, including image search visibility
How it enhances accessibility for screen reader users
The difference between decorative and meaningful images
Best practices to follow when writing alt text
When to leave the alt attribute empty and why
This guide also includes:
HTML code examples for alt text usage
A “Did You Know?” insight from Google’s official image SEO guidelines
A summary of key takeaways
A helpful FAQ section addressing common questions about alt text and SEO
By following the advice in this guide, you’ll not only make your website more inclusive and user-friendly but also increase your chances of ranking higher in image-based and regular search results.
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Timeline
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How to be happy
How to be happyStream Group A great presentation about, how to be happier during un unhappy time. It was really usefull for me, so I hope it will be so for you. : )
Introducing view too v.2.1
Introducing view too v.2.1Jiransoft ViewToo is an online meeting application that allows users to share their screens from cloud storage services with multiple attendees via a single link. It offers simple one-click meetings without registration through customizable meeting codes. Files can be shared and annotated during meetings across devices on Android, iOS, and desktop. Common use cases include online consultations, sharing class presentations, and conducting international meetings from anywhere.
Office box user_guide_v3.0
Office box user_guide_v3.0Jiransoft OfficeBox allows users to store and share files online. Key features include My Folder for personal files, Shared Folders for collaboration, and Guest Folders that allow others limited access to a user's storage space. File links can be created to share individual files or folders without creating a guest account. The user interface provides access to these folders and tools for uploading, downloading, and managing files.
Novel text categorization by amalgamation of augmented k nearest neighbourhoo...
Novel text categorization by amalgamation of augmented k nearest neighbourhoo...ijcsity Machine learning for text classification is the
underpinning
of document
cataloging
, news filtering,
document
steering
and
exemplif
ication
. In text mining realm, effective feature selection is significant to
make the learning task more accurate and competent. One of the
traditional
lazy
text classifier
k
-
Nearest
Neighborhood (
k
NN) has
a
major pitfall in calculating the similarity between
all
the
objects in training and
testing se
t
s,
there by leads to exaggeration of
both
computational complexity
of the algorithm
and
massive
consumption
of
main memory
. To diminish these shortcomings
in
viewpoint
of a
data
-
mining
practitioner
a
n
amalgamati
ve technique is proposed in this paper using
a novel restructured version of
k
NN called
Augmented
k
NN
(AkNN)
and
k
-
Medoids
(kMdd)
clustering.
The proposed work
comprises
preprocesses
on
the
initial training
set
by
imposing
attribute feature selection
for reduc
tion of high dimensionality, also it
detects and excludes the high
-
fliers
samples
in t
he
initial
training set
and
re
structure
s
a
constricted
training
set
.
The kMdd clustering algorithm generates the cluster centers (as interior objects) for each category
and
restructures
the constricted training set
with centroids
. This technique
is
amalgamated with
AkNN
classifier
that
was prearranged with
text mining similarity measure
s.
Eventually, s
ignifican
tweights
and ranks were
assigned to each object in the new
training set based upon the
ir
accessory towards the
object in testing set
.
Experiments
conducted
on Reuters
-
21578 a
UCI benchmark
text mining
data
set
, and
comparisons with
traditional
k
NN
classifier designates
the
referred
method
yield
spreeminentrecital
in b
oth clustering and
classification
What is Personal Branding
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Convergence tendency of genetic algorithms and artificial immune system in so...
Convergence tendency of genetic algorithms and artificial immune system in so...ijcsity By the advances in the Evolution Algorithms (EAs) and the intelligent optimization metho
ds we witness the
big revolutions in solving the optimization problems. The application of the evolution algorithms are not
only not limited to the combined optimization problems, but also are vast in domain to the continuous
optimization problems. In this
paper we analyze and study the Genetic Algorithm (GA) and the Artificial
Immune System (AIS)
algorithm
which are capable in escaping the local optimization and also fastening
reaching the global optimization and to show the efficiency of the GA and AIS th
e application of them in
Solving Continuous Optimization Functions (SCOFs) are studied. Because of the multi variables and the
multi
-
dimensional spaces in SCOFs the use of the classic optimization methods, is generally non
-
efficient
and high cost. In other
words the use of the classic optimization methods for SCOFs generally leads to a
local optimized solution. A possible solution for SCOFs is to use the EAs which are high in probability of
succeeding reaching the local optimized solution. The results in pa
per show that GA is more efficient than
AIS in reaching the optimized solution in SCOFs.
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