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Welcome to the home page
of the FSS
This new approach in Swarm
Intelligence was invented by
C.
Bastos Filho and
F. Lima Neto
in 2007 and extended ever since
The two abovementioned researchers head
CIRG and are based at
Polytechnic School (POLI) of
UPE in
Recife-PE,
Brazil |
What is FSS?
FSS is a family of algorithms suited for optimization in
high-dimensional search spaces. All fish perform local search
and the school aggregates social information.
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Why using FSS?
FSS is fast, it outperforms most other Swarm Intelligent
algorithms and is computationally inexpensive. New investigations also show that FSS is easy to go-GPU.
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Principles of FSS?
(i) Simple computations in all
individuals (i.e. fish)
(ii) Various means of storing information (i.e. weights of fish
and
school barycenter)
(iii) Local computations (i.e. swimming is composed of distinct
components)
(iv) Low communications between neighboring individuals (i.e.
fish are to think local but also be socially aware)
(v) Minimum centralized control (mainly for self-controlling of
the school radius)
(vi) Some distinct diversity mechanisms (this to avoid
undesirable flocking behavior)
(vii) Scalability (in terms of complexity of the
optimization/search tasks)
(viii) Autonomy (i.e. ability to self control functioning) |
Rationale?
(1) 'Swimming' actually is a means of:
Performing a local search
Storing information of success
Indirectly conveying social information
(2) Success of the search is given by:
Fish weights (large is better)
School radius (small is better - meaning more heavy
fishes)
School barycenter (closer to optima is better)
(3) Non-monotonicity is achieved, e.g.:
By random hesitation before swim
By expansion/shrinking the school radius
By variations on swimming components
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To download
complete and fully working implementations of FSS check tab
'Versions' in the menu on the left
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If
your team is researching on FSS, please send your details for
we to keep this website updated!
FSS-Team e-contact is
cirg_fss@ecomp.poli.br
This page was updated in
27/11/11 (c) 2007, 2010 CIRG@UPE * Recife, Brazil.
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