EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation VI

Description

This book comprises selected research papers from the 2015 edition of the EVOLVE conference, which was held on June 18–June 24, 2015 in Iași, Romania. It presents the latest research on Probability, Set Oriented Numerics, and Evolutionary Computation. The aim of the EVOLVE conference was to provide a bridge between probability, set oriented numerics and evolutionary computation and to bring together experts from these disciplines. The broad focus of the EVOLVE conference made it possible to discuss the connection between these related fields of study computational science. The selected papers published in the proceedings book were peer reviewed by an international committee of reviewers (at least three reviews per paper) and were revised and enhanced by the authors after the conference. The contributions are categorized into five major parts, which are: Multicriteria and Set-Oriented Optimization; Evolution in ICT Security; Computational Game Theory; Theory on Evolutionary Computation; Applications of Evolutionary Algorithms. The 2015 edition shows a major progress in the aim to bring disciplines together and the research on a number of topics that have been discussed in previous editions of the conference matured over time and methods have found their ways in applications. In this sense the book can be considered an important milestone in bridging and thereby advancing state-of-the-art computational methods. Front Matter ....Pages i-xiv Front Matter ....Pages 1-1 Aggregate Selection in Multi-objective Biochemical Optimization via the Average Cuboid Volume Indicator (Susanne Rosenthal, Bernd Freisleben, Markus Borschbach)....Pages 3-17 On Gradient-Based and Swarm-Based Algorithms for Set-Oriented Bicriteria Optimization (Wilco Verhoef, André H. Deutz, Michael T. M. Emmerich)....Pages 18-36 Quadcriteria Optimization of Binary Classifiers: Error Rates, Coverage, and Complexity (Vitor Basto-Fernandes, Iryna Yevseyeva, David Ruano-Ordás, Jiaqi Zhao, Florentino Fdez-Riverola, José Ramón Méndez et al.)....Pages 37-49 Parameter Identification of Stochastic Gene Regulation Models by Indicator-Based Evolutionary Level Set Approximation (Alexander Nezhinsky, Michael T. M. Emmerich)....Pages 50-64 Front Matter ....Pages 65-65 On Using Cognition for Anomaly Detection in SDN (Emilia Tantar, Alexandru-Adrian Tantar, Miroslaw Kantor, Thomas Engel)....Pages 67-81 Feature Creation Using Genetic Algorithms for Zero False Positive Malware Classification (Razvan Benchea, Dragos Gavrilut, Henri Luchian)....Pages 82-93 Multi-centroid Cluster Analysis in Malware Research (Ciprian Oprişa, George Cabău, Gheorghe Sebestyen Pal)....Pages 94-103 Front Matter ....Pages 105-105 Cooperation in Multicriteria Repeated Games (Réka Nagy, Mihai Suciu, Dan Dumitrescu)....Pages 107-117 Evolving Game Strategies in a Dynamic Cournot Oligopoly Setting (Mihai Alexandru Suciu, Rodica-Ioana Lung, Noémi Gaskó, Tudor-Dan Mihoc, Dan Dumitrescu)....Pages 118-128 Front Matter ....Pages 129-129 Efficient Real-Parameter Single Objective Optimizer Using Hierarchical CMA-ES Solvers (Madalina M. Drugan)....Pages 131-145 Multi-point Efficient Global Optimization Using Niching Evolution Strategy (Hao Wang, Thomas Bäck, Michael T. M. Emmerich)....Pages 146-162 Community Detection in NK Landscapes - An Empirical Study of Complexity Transitions in Interactive Networks (Asep Maulana, André H. Deutz, Erik Schultes, Michael T. M. Emmerich)....Pages 163-176 Front Matter ....Pages 177-177 River Flow Forecasting Using an Improved Artificial Neural Network (Josiah Adeyemo, Oluwaseun Oyebode, Derek Stretch)....Pages 179-193 Evolutionary Cost-Sensitive Balancing: A Generic Method for Imbalanced Classification Problems (Camelia Lemnaru, Rodica Potolea)....Pages 194-209 Balancing the Subtours for Multiple TSP Approached with ACS: Clustering-Based Approaches Vs. MinMax Formulation (Raluca Necula, Madalina Raschip, Mihaela Breaban)....Pages 210-223 Back Matter ....Pages 225-226