Intro
Preface
Organization
Contents
Evolutionary Optimization of Roles for Access Control in Enterprise Resource Planning Systems
1 Introduction
2 Problem Description
3 Related Work
4 The AddRole-EA
4.1 Presentation of the AddRole-EA
4.2 Evaluation
5 New Mutation Methods for the AddRole-EA
5.1 (M1): Intersection of Permission Sets
5.2 (M2): Permission Set Setminus Union of Permissions of Roles
5.3 (M3): Splitting of Roles
5.4 (M4): Permission Set of a User
5.5 (M5): Merging of Roles
6 Evaluation
7 Conclusion and Future Works
References

Behavioural Modelling of Digital Circuits in SystemVerilog Using Grammatical Evolution
1 Introduction
2 Background
2.1 Related Work
2.2 Grammatical Evolution
3 Experimental Design
3.1 Benchmark Problems
4 Results and Discussions
4.1 Success Rate
4.2 Grammar Design
4.3 Higher Abstraction Levels
4.4 Impact of Initialization Schemes on Circuit Design Benchmark Problems
5 Conclusion and Future Work
References
Crossover in Cartesian Genetic Programming: Evaluation of Two Phenotypic Methods
1 Introduction
2 Preliminaries

2.1 Cartesian Genetic Programming
2.2 Advanced Crossover Operators for CGP
3 Review and Motivation
3.1 Previous Work on Crossover in CGP
3.2 Motivation for a New Evaluation
3.3 Formulation of Hypotheses
4 Evaluation
4.1 Experimental Setup
4.2 Benchmarks
4.3 Meta-optimization
4.4 Experiments
5 Discussion and Analysis
5.1 Analysis of Hypotheses
6 Conclusion and Future Work
References
An Information Granulation Approach Through m-Grams for Text Classification
1 Introduction
2 The Text Categorization System
2.1 Background and Conceptual Framework

2.2 Overview of the Text Categorization System
3 Enhancing the System Performance
3.1 Performance Exploration Strategy
4 Simulation Settings and Results
4.1 Experimental Setup
4.2 Performance Evaluation
4.3 Experimental Results
5 Conclusions
References
Recent Research Topics in Evolutionary Multiobjective Optimization: A Personal Perspective
1 Introduction
2 Basic Concepts
3 Recent Research Topics
3.1 Algorithms
3.2 Scalability
3.3 Computationally Expensive MOPs
3.4 Hyper-Heuristics
4 Challenges
5 Conclusions
References

A Multi-objective Optimization Approach for the Capacitated Vehicle Routing Problem with Time Windows (CVRPTW)
1 Introduction
2 Formal Model
3 Various Approaches to the Problem
4 Our Approach
4.1 Setting the Input Parameters
4.2 Building the Initial Population Using a Greedy Approach
4.3 Tweak Operator
4.4 Recombination Operator
4.5 Fuse Operator: Naïve Merge
4.6 Tuning Operator
4.7 SPEA2 Fitness Computation and Archive Construction
4.8 SPEA2 Algorithm
4.9 Evolve Operator
5 Summary of Our Experimental Results
5.1 Hyperparameters Tuning