A new approach to learning classical optimization methods-numerical techniques modeled and illustrated via MATLAB This unique and timely v...

Sweden Biologically inspired optimization methods constitute a rapidly expanding field of research, with new applications appearing on an al...

This graduate-level text considers the Soviet ellipsoid algorithm for linear programming; efficient algorithms for network flow, matching, s...

"This book explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial...

This book considers problems of optimization arising in the design of electromagnetic radiators and receivers. The authors develop a systema...

The principal objective of this book is to present a collection of challenging test problems arising in literature studies and a wide spec...

In Optimization of Industrial Unit Processes, the term "optimization" means the maximizing of productivity and safety while minimizing opera...

Since the introduction of genetic algorithms in the 1970s, an enormous number of articles together with several significant monographs and...

Engineers must make decisions regarding the distribution of expensive resources in a manner that will be economically beneficial. This probl...

Optimization is one of the most important areas of modern applied mathematics, with applications in fields from engineering and economics to...

An Introduction to Optimization, Third Edition helps students build a solid working knowledge of the field, including unconstrained optimiza...

A comprehensive and rigorous introduction to thermal system design from a contemporary perspective Thermal Design and Optimization offers...