Meta-heuristic Optimization Techniques : Applications in Engineering

This book offers a thorough overview of the most popular and researched meta-heuristic optimization techniques and nature-inspired algorithms. Their wide applicability makes them a hot research topic and an effi cient tool for the solution of complex optimization problems in various fi elds of sciences, engineering, and in numerous industries. Without Mathematics No Science Would Survive. This Especially Applies To The Engineering Sciences Which Highly Depend On The Applications Of Mathematics And Mathematical Tools Such As Optimization Techniques, Finite Element Methods, Differential Equations, Fluid Dynamics, Mathematical Modelling, And Simulation. Neither Optimization In Engineering, Nor The Performance Of Safety-critical System And System Security; Nor High Assurance Software Architecture And Design Would Be Possible Without The Development Of Mathematical Applications. De Gruyter Series On The Applications Of Mathematics In Engineering And Information Sciences (ameis) Focusses On The Latest Applications Of Engineering And Information Technology That Are Possible Only With The Use Of Mathematical Methods. By Identifying The Gaps In Knowledge Of Engineering Applications The Ameis Series Fosters The International Interchange Between The Sciences And Keeps The Reader Informed About The Latest Developments. This book offer a thorough overview of the most popular and researched meta-heuristic optimization techniques and nature inspired algorithms. Their wide applicability makes them a hot research topic and an efficient tool for the solution of complex optimization problems in various field of sciences, engineering and in numerous industries.