Principles and State-of-the-Art of Engineering Optimization Techniques
Ning Xiong, Miguel Leon Ortiz · 2015
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. Keywords-optimization techniques; point-based optimization; population-based optimization I.