This book is dedicated to the application of metaheuristic
optimization in trajectory generation and control issues in
robotics. In this area, as in other fields of application, the
algorithmic tools addressed do not require a comprehensive list of
eligible solutions to effectively solve an optimization problem.
This book investigates how, by reformulating the problems to be
solved, it is possible to obtain results by means of
metaheuristics. Through concrete examples and case studies -
particularly related to robotics - this book outlines the
essentials of what is needed to reformulate control laws into
concrete optimization data. The resolution approaches implemented -
as well as the results obtained - are described in detail, in order
to give, as much as possible, an idea of metaheuristics and their
performance within the context of their application to robotics.
General
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