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Principles and State-of-the-Art of Engineering Optimization Techniques

Authors:
Ning Xiong
Miguel Leon Ortiz

Keywords: optimization techniques; point-based optimization; population-based optimization

Abstract:
This paper gives a survey of the principles and the state-of-the-art of engineering optimization techniques. Both the classic and emerging approaches to nonlinear optimization problems are reviewed and analyzed. All the techniques are discussed in two basic types: point-based transition and population-based transition, depending on whether a single point or multiple points are generated as new approximate solution(s) in each step. We also consider multi-objective tasks as new application trend and point out the strong potential of population-based methods to tackle multiple objectives simultaneously.

Pages: 36 to 42

Copyright: Copyright (c) IARIA, 2013

Publication date: September 29, 2013

Published in: conference

ISSN: 2308-4499

ISBN: 978-1-61208-290-5

Location: Porto, Portugal

Dates: from September 29, 2013 to October 3, 2013