Over the years, the use and application of evolutionary computation techniques has improved resulting in a set of computational intelligence (also known as modern heuristics) tools that are particularly adept for solving complex optimization problems. Moreover, they are characteristically more robust than traditional methods based on formal logics or mathematical programming for many real world OR/MS problems. Hence, evolutionary computation techniques have dealt with complex optimization problems better than traditional optimization techniques although they can be applied to easy and simple problems where conventional techniques work well. This volume reviews evolutionary computation techniques and surveys the most recent developments in their use for solving complex OR/MS problems.