DESCRIPTION This fully updated new edition builds on the strengths of its successful predecessor whilst assimilating all key developments in the field since 1995. Thus it retains the lucid and accessible style of the first edition, together with the use of a wide range of illustrative examples and the inclusion of case studies of small service businesses.

This upper-level undergraduate text provides an introduction to industrial organization theory along with applications and nontechnical analyses of the legal system and antitrust laws. Using the modern approach but without emphasizing the mathematical generality inherent in many of the arguments, it bridges the gap between existing nontheoretical texts written for undergraduates and highly technical texts written for graduate students.

Problems with multiple objectives and criteria are generally known as multiple criteria optimization or multiple criteria decision-making (MCDM) problems. So far, these types of problems have typically been modelled and solved by means of linear programming. However, many real-life phenomena are of a nonlinear nature, which is why we need tools for nonlinear programming capable of handling several conflicting or incommensurable objectives. In this case, methods of traditional single objective optimization and linear programming are not enough; we need new ways of thinking, new concepts, and new methods – nonlinear multiobjective optimization.