Book of Donmon Teith

Multi-Objective Combinatorial Optimization Problems and Solution Methods discusses the results of a recent multi-objective combinatorial optimization achievemen

This book introduces a fairly universal approach to the design and analysis of exact optimization algorithms for multi-objective combinatorial optimization prob

Multi-Objective Optimization in Theory and Practice is a traditional two-part approach to solving multi-objective optimization (MOO) problems namely the use of

In vector optimization one investigates optimization problems in an abstract setting which have a not necessarily real-valued objective function. This scientifi

Recent results on non-convex multi-objective optimization problems and methods are presented in this book, with particular attention to expensive black-box obje