This paper gives an overview of meta-heuristics methods utilized within the paradigm of
multi-objective programming. This is an area of research that has undergone substantial …

The concept of Swarm Intelligence is based on the ability of individuals to learn with their
own experience in a group as well as to take advantage of the performance of other …

Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …

Although computational techniques for solving Multiobjective Optimization Problems (MOPs)
have been available for many years, the recent application of Evolutionary Algorithms (EAs) …

Efficient maintenance policies are of fundamental importance in system engineering
because of their fallbacks into the safety and economics of plants operation. When the …

When attempting to optimize the design of engineered systems, the analyst is frequently
faced with the demand of achieving several targets (eg low costs, high revenues, high …

Optimization of nuclear fuel assemblies if performed effectively, will lead to fuel efficiency
improvement, cost reduction, and safety assurance. However, assembly optimization …

This chapter presents a brief review of some of the most relevant research currently taking
place in evolutionary multiobjective optimization. The main topics covered include …

For practical engineering optimization problems, the design space is typically narrow, given
all the real-world constraints. Reinforcement Learning (RL) has commonly been guided by …

This book illustrates a number of modelling and computational techniques for addressing
relevant issues in reliability and risk analysis. In particular, it provides: i) a basic illustration of …