Angelika Michalski (EDT) Global Optimization

Annotation

Global optimization is an important area of applied mathematics that has shown fast and growing development during the last few decades, and deals with the optimization of a function or a set of functions according to some criteria. In this book the authors discuss the theory, developments and applications of global optimization including: particle swarm optimization with re-initialization strategies for continuous global optimization; particle swarm global optimization for orbital maneuvers; float-encoded genetic algorithms used for the inversion processing of well-logging data; particle collision algorithms; classifier-assisted frameworks for computationally expensive optimization problems; and the cutting box strategy as an algorithmic framework for improving metaheuristics for continuous global optimization.