# Cursos de Verano de El Escorial:

Encuentro sobre Computación Natural

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EVOLUTIONARY COMPUTATION AND TELECOMMUNICATIONS:
José-Luis Fernández-Villacañas Martín

The aim of this presentation is to justify why Evolutionary
Computation is a good compromise solution for the design and
management of current telecommunication systems.

These systems have reached a level of complication and complexity
such that classic analytic approaches to their building and
maintenance do not provide feasible solutions anymore.

Among the random-component based algorithms that do not preclude a
good knowledge of the space of possible solutions we find the
population-based evolutionary algorithms. These are inspired by
the concept of "survival of the fittest" in which fitter solutions
to a specific problem get a better chance of reproducing, thus
surviving, into future generations until one solution, hopefully,
is good enough for our problem at hand.

In this presentation we won´t talk about representation models,
variation and selection strategies, fitness landscapes and not
even about different theoretical classes of evolutionary
algorithms. We will concentrate on showing the audience how these
algorithms, in general, can de used to design and manage telecom
systems that display properties of adaptability, robustness and
evolvability.

These three qualities are abundantly found in biological systems.
The point is that current telecom systems suffer from a series of
problems (in hardware and in software) that could be conquered if
these systems were robust, adaptable and evolvable. We will give a
brief description of these problems.

To start displaying some of these properties, we will start with a
very simple example, the "ants algorithm". This system is
adaptable and robust (but not evolvable) and is described by a
local random-based algorithm, not an evolutionary algorithm as
such.

We will continue with an artificial life system that
allows for evolvability too. In a scale of goal-directed to not
having a specific goal but reproduction and from single fixed
solution to ecosystem-population based solution, the ants
algorithm and alife systems are two extreme examples.

It is in the middle ground where we find the standard evolutionary
algorithms and where most of the current applications to Telecom
are derived from. In this presentation we will analyze the
optimization in the design of a network with a
genetic algorithm and the message filtering using
genetic programming.

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