Civil engineering structures such as buildings, bridges,
stadiums, and offshore structures play an import role in our daily
life. However, constructing these structures requires lots of
budget. Thus, how to cost-efficiently design structures satisfying
all required design constraints is an important factor to
structural engineers. Traditionally, mathematical gradient-based
optimal techniques have been applied to the design of optimal
structures. While, many practical engineering optimal problems are
very complex and hard to solve by traditional method. In the past
few decades, swarm intelligence algorithms, which were inspired by
the social behaviour of natural animals such as fish schooling and
bird flocking, were developed because they do not require
conventional mathematical assumptions and thus possess better
global search abilities than the traditional optimization
algorithms and have attracted more and more attention. These
intelligent based algorithms are very suitable for continuous and
discrete design variable problems such as ready-made structural
members and have been vigorously applied to various structural
design problems and obtained good results. This book gathers the
authors' latest research work related with particle swarm optimizer
algorithm and group search optimizer algorithm as well as their
application to structural optimal design. The readers can
understand the full spectrum of the algorithms and apply the
algorithms to their own research problems.
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