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The design of most modern engineering systems entails the
consideration of a good trade-off between the several targets
requirements to be satisfied along the system life such as high
reliability, low redundancy and low operational costs. These
aspects are often in conflict with one another, hence a compromise
solution has to be sought. Innovative computing techniques, such as
genetic algorithms, swarm intelligence, differential evolution,
multi-objective evolutionary optimization, just to name few, are of
great help in founding effective and reliable solution for many
engineering problems. Each chapter of this book attempts to using
an innovative computing technique to elegantly solve a different
engineering problem.
The design of most modern engineering systems entails the
consideration of a good trade-off between the several targets
requirements to be satisfied along the system life such as high
reliability, low redundancy and low operational costs. These
aspects are often in conflict with one another, hence a compromise
solution has to be sought. Innovative computing techniques, such as
genetic algorithms, swarm intelligence, differential evolution,
multi-objective evolutionary optimization, just to name few, are of
great help in founding effective and reliable solution for many
engineering problems. Each chapter of this book attempts to using
an innovative computing technique to elegantly solve a different
engineering problem.
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