Evolutionary Multi-Objective System Design-Theory and Applications

Embrittlement of Stainless Steel Coated Electrodes
Diego Henrique A. Nascimento, Rogerio Martins Gomes, Elizabeth Fialho Wanner, and Mariana Presoti
Introduction 
Manufacturing Process 
Process Modeling 
Process Optimization 
Final Remarks 
Learning Fuzzy Rules from Imbalanced Datasets using Multi-objective Evolutionary Algorithms
Edward Hinojosa C., Heloisa A. Camargo, and Yvan Tupac V.
Introduction 
Imbalanced Dataset Problem 
Fuzzy Rule-Based Systems 
Genetic Fuzzy Systems 
Proposed Method: IRL-ID-MOEA
Experimental Analysis 
Final Remarks 
Hybrid Multi-Objective Evolutionary Algorithms with Collective Intelligence
Daniel Cinalli, Luis Marti, Nayat Sanchez-Pi, and Ana Cristina Bicharra Garcia
Introduction 
Foundations 
Preferences and Interactive Methods 
Collective Intelligence for MOEAs 
Algorithms 
Experimental Results 
Final Remarks 
Multiobjective Particle Swarm Optimization Fuzzy Gain Scheduling Control
Edson B. M. Costa and Ginalber L. O. Serra
Introduction
Takagi-Sugeno fuzzy modelling 
Fuzzy gain scheduling control 
Experimental results 
Glossary 
Multiobjective evolutionary algorithms for smart placement
Renzo Massobrio, Jamal Toutouh, and Sergio Nesmachnow 
Introduction 
Vehicular Communication Networks
Materials and methods: metaheuristics, evolutionary computation and multiobjective optimization 
RSU deployment for VANETs 
Multiobjective Evolutionary Algorithms for the RSU-DP 
Experimental Analysis 
Final Remarks 
Solving Multi-Objective Problems with MOEA/D and Quasi-Simplex Local Search
Lucas Prestes, Carolina Almeida, and Richard Goncalves
Introduction 
Multi-objective Optimization Problems 
Multi-Objective Evolutionary Algorithm based on DecompositionDi_erential Evolution
Quasi-Simplex Local Search 
Proposed Algorithm - MOEA/DQS 
Experiments and Results
Final Remarks 
Multi-objective Evolutionary Design of Robust Substitution Boxes 
Nadia Nedjah and Luiza de Macedo Mourelle
Introduction 
Preliminaries for Substitution Boxes 
Evolutionary Algorithms: Nash Strategy and Evolvable Hardware
Evolutionary Coding of Resilient S-Boxes
Evolvable Hardware Implementation of S-Boxes 
Performance Results 
Final Remarks 
Multi-objective approach to the Protein Structure Prediction Problem
Ricardo H. R. Lima, Vidal Fontoura, Aurora Pozo, and Roberto Santana
Introduction 
Protein Structure Prediction 
The HP Model 
Multi-objective Optimization
A bi-objective optimization approach to HP protein folding
Experiments 
Final Remarks 
Multi-objective IP Assignment for E_cient NoC-based System Design 
Maamar Bougherara, Rym Rahmoun, Amel Sadok, Nadia Nedjah, Mouloud Koudil, and Luiza de Macedo Mourelle
Introduction 
Related Work NoC Internal Structure 
Application and IP Repository Models 
The IP Assignment Problem 
Assignment with MOPSO Algorithm 
Objective Functions 
Results 
Conclusions