PhD Dissertation Writing Services Development Tips for Social Spider Algorithm -phdassistance.com

DISSERTATION ALGORITHM DEVELOPMENT
TIPS FOR DEVELOPING SOCIAL SPIDER
ALGORITHM AND GLOBAL OPTIMIZATION
WHERE AND HOW IT IS USED?
An Academic presentation by
Dr. Nancy Agens, Head, Technical Operations, Phdassistance
Group www.phdassistance.com
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Today's Discussion
OUTLINE
Short notes
Background
Social Spider Behavior
Social Spider Algorithm (SSA)
Flowchart for the Original Social Spider Algorithm
Conclusion
Future scope

In Brief
Swarm intelligence algorithm is the recent trend in Artificial Intelligence.
A Social Spider Algorithm (SSA) is one of Nature-Inspired Swarm Optimization Algorithm.
In a meta-heuristic design, SSA is a social animal foraging model
SSA is used to solve Global optimisation problems in engineering design particularly in
mechanical engineering design problems

Increasing complexity of real-world issues has inspired computer
scientists to look for effective methods of problem-solving.
Background
A nature-inspired Swarm Optimization Algorithm called Social
Spider Algorithm (SSA) is based primarily on the social spiders '
foraging approach, using the vibrations on the spider web to
assess the positions of the preys.
We perform preliminary parameter sensitivity analysis,
developing guidelines for selecting the parameter values.

Spiders have been a large research topic in bionic technology for several
years among the frequently seen animals.
Social Spider
Behavior
Spiders have long been recognized to be very sensitive to vibratory
stimuli, as vibrations on their webs remind them of the capture of prey.
Social spiders indirectly receive the vibrations on the same web created
by other spiders to get a clear view of the web.
This is one of the unique characteristics that separate social spiders from
other species as one typically regularly share information, which
decreases information loss to some extent but increases the energy
consumed by communication action.

Figure :
Social spider behaviour

Social Spider
Algorithm (SSA)
Social Spider Algorithm, we formulate the search space as a
hyper-dimensional spider web for the problem of
optimisation.
Every position on the web reflects a feasible solution to the
optimization problem, and there are corresponding positions
on this web for all feasible solutions.
Spider on the web has a position and the solution's efficiency
is dependent on the objective feature and reflects the potential
to find a food source at the position.
Contd..

A spider moves to a new location, a vibration is produced which propagates over the web.
Vibration contains information about one spider, and when the vibration is transmitted, other
spiders can get the information.
A predefined number of spiders are placed on the Web at the beginning of the algorithm.
Number of iterations has last changed its target vibration.
Dimension mask1 employed to guide movement in the previous iteration.
First two types of information describe the individual situation, while all others are involved in
directing new positions.

Flowchart
for the Original
Social Spider
Algorithm

Social Spider Algorithm is the inspiration of social spider
behaviours.
Conclusion
Algorithm is designed based on spider behaviour and
preying nature.
Social Spider Algorithm formulate the search space as a
hyper-dimensional spider web for an optimization
problem.
SSA is used to solve Global optimisation problems in
engineering design particularly in mechanical engineering
design problems.

For feature selection problem, social spider algorithm
can be used as an efficient binary method.
FUTURE SCOPE
It provides a solution for optimal power flow
problems with single objective optimization.
Can be used as cloud tracking using multi-objective
images on satellite

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