Information Technology Reference
In-Depth Information
Advantages of incorporation of SI techniques into applications:
Concept of some techniques such as PSO are very simple and competitive to
other approaches.
Simpler techniques just need to identify application problem
'
s control param-
eters in order to consume strategy of the technique.
Techniques with less parameters and simple strategy can easily
fit into variety of
applications of different domain.
Generally SI techniques requires only a few steps i.e. initialize swarm and iterate
with corresponding strategy.
SI provides framework to solve collective or distributed problems through a
global view model with decentralized control.
Can easily solve non-linear complex problems.
Can easily solve hard problems such as NP-hard and NP-complete problems,
shows high quality approximated solution.
Problem can be solved without any guidance through local shared information
and cooperative learning of SI technique.
Disadvantages of SI techniques in perspective of applications:
Application complexity creates problems during absorption of SI techniques.
Some advanced variants show very high quality solutions but technique become
complex and difficult to implement.
SI techniques always give approximated result and have no grantee of good
solution.
Most of the SI techniques have parameters which have to be tuned in order to
get better result.
9 Conclusion
Swarm based techniques have been applied enormously in real life problems. Most
of these techniques are inspired by nature and have a common aim to optimize.
Technology advances have led to solve problems more ef
ciently and more
effectively. To deal with the requirements of such advanced technology, associated
problem has to solve intelligently. SI techniques have been one of the repository for
such intelligence. To align with current technology, SI techniques have also been
improved. Though these advanced variations shown improvement in quality of
solutions, in parallel increases complexity of the approach and time requirement.
Also, creates confusion regarding selection of one from these too many techniques
along with their variants. Such application and SI techniques related issues have
been addressed in this chapter. Generalization of SI techniques can be one of the
solution to such issues, but due to constraints present at variety of applications this
solution can not be materialized fully. Another solution being noticed to this
problem is the utilization of simpler and relatively effective variant to applications,
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