Kaveh A., Bakhshpoori T. Metaheuristics: Outlines, MatLAB Codes and Examples

Springer, 2019. — 192 p.Optimization problems arise in various disciplines like engineering, economics, and sciences. In view of the practical utility of these problems, there is a need for efficient and robust solvers. Metaheuristic algorithms as probabilistic solvers are developed and considered as the primary choice instead of deterministic approaches. A brief review of the metaheuristic-based optimization literature is clear proof to this fact: metaheuristics are evolving faster and faster. The dual nature (random based and rule based) of these algorithms makes them efficient to tackle hard optimization problems in a reasonable time with acceptable accuracy, however, this property makes their characterization very difficult.
This book is an attempt to present five recently well-known and increasingly employed algorithms besides eight novel and efficient developed algorithms by the first author and his graduate students in an accompanying practical implementation framework.