Aerodynamic optimisation has become an indispensable component for any aerodynamic
design over the past 60 years, with applications to aircraft, cars, trains, bridges, wind …

Many optimization problems in engineering and science require solutions that are globally
optimal. These optimization problems are characterized by the nonconvexity of the feasible …

A comprehensive overview of Monte Carlo simulation that explores the latest topics,
techniques, and real-world applications More and more of today's numerical problems found …

This book is a comprehensive and accessible introduction to the cross-entropy (CE) method.
The CE method started life around 1997 when the first author proposed an adaptive …

We present a new and fast method, called the cross-entropy method, for finding the optimal
solution of combinatorial and continuous nonconvex optimization problems with convex …

Metaheuristics are the most exciting development in approximate optimization techniques of
the last two decades. They have had widespread successes in attacking a variety of difficult …

This book is written for students and researchers in the field of industrial engineering,
computer science, operations research, management science, electrical engineering, and …

In science, engineering and economics, decision problems are frequently modelled by
optimizing the value of a (primary) objective function under stated feasibility constraints. In …

There is a need for a methodology to fairly compare and present evaluation study results of
stochastic global optimization algorithms. This need raises two important questions of (i) an …

In this chapter, we move on to investigate the road pricing problem with extended multi-class
equilibrium behaviors in the transportation networks introduced in Chapter 2. We begin our …