Organiser: Dirk Sudholt, University of Sheffield
Time and Location: Saturday, July 12, 8:30-18:00, Port Alberni
Instructions: Speakers are allocated 18 minutes for each presentation, 14
minutes for set up and presentation and 4 minutes for questions.
Session I: Classification and Learning
8:30–8:48 Evaluation of Fitness Functions of GA Classification
Ming-Der Yang, Yeh-Feng Yang, Yi-Ping Chen
8:48–9:06 A Novel Quantum Genetic Clustering Algorithm for Data Segmentation
Ming-An Zhang, Yong Deng, Dong-Xia Chang
9:06–9:24 A Novel Genetic Clustering Algorithm with Variable-Length Chromosome Representation
Ming-An Zhang, Yong Deng, Dong-Xia Chang
9:24–9:42 Towards the Automated Generation of Term-Weighting Schemes for Text Categorization
Mauricio Garcia-Limon, Hugo Jair Escalante, Manuel Montes-y-Gomez, Alicia Morales-Reyes, Eduardo Morales
9:42–10:00 Genetic Algorithms for Evolving Deep Neural Networks
Omid E. David, Iddo Greental
Session II: Algorithm Design
10:40–10:58 A Study on the Efficiency of Neutral Crossover Operators in Genetic Algorithms
Applied to the Bin Packing Problem
Eneko Osaba, Fernando Diaz, Roberto Carballedo, Idoia de la Iglesia, Enrique Onieva, Asier
Perallos
10:58–11:16 A Study on the Impact of Heuristic Initialization Functions in a Genetic Algorithm Solving the N-Queens Problem
Eneko Osaba, Fernando Diaz, Roberto Carballedo, Enrique Onieva, Pedro Lopez
11:16–11:34 Some Measurements on the Effects of the Curse of Dimensionality
Stephen Chen, James Montgomery, Antonio Bolufé-Röhler
11:34–11:52 A Genetic Algorithm for Linear Ordering Problem Using an Approximate Fitness
Evaluation
Jinhyun Kim, Byung-Ro Moon
11:52–12:10 An Iterative Model Refinement Approach for MOEA Computation Time Reduction
Mathias Ngo, Raphaël Labayrade
12:10–12:28 NSGA-II Implementation Details May Influence Quality of Solutions for the Job-
Shop Scheduling Problem
Maxim Buzdalov, Irina Petrova, Arina Buzdalova
Session III: Applications
14:00–14:18 Adaptive Memetic Algorithm for the Vehicle Routing Problem with Time Windows
Jakub Nalepa
14:18–14:36 A Fast Genetic Algorithm for the Flexible Job Shop Scheduling Problem
Marcin Cwiek, Jakub Nalepa
14:36–14:54 Evolved Transforms for Improved Reconstruction of Lossy-Compressed NASA Images
Frank W. Moore, Brendan J. Babb
14:54–15:12 Portfolio Optimization Using an Integer Genetic Algorithm
Javier Fernández-Rendón, Katya Rodríguez-Vázquez
15:12–15:30 Improving Reconstructed Images Using Hybridization between Local Search and
Harmony Search Meta-Heuristics
Ahlem Ouaddah, Dalila Boughaci
Session IV: Swarm Intelligence
16:10–16:28 First Results of Performance Comparisons on Many-Core Processors in Solving
QAP with ACO: Kepler GPU versus Xeon Phi
Mikiko Sato, Shigeyoshi Tsutsui, Noriyuki Fujimoto, Yuji Sato, Mitaro Namiki
16:28–16:46 Bat-Inspired Optimization Approach Applied to Jiles-Atherton Hysteresis Parameters Tuning
Leandro dos Santos Coelho, Viviana Cocco Mariani, Helon Vicente Hultmann Ayala, Andre
Mendes da Silva, Nelson Jhoe Batistela, Jean Vianei Leite
16:46–17:04 A Modified Gravitational Search Algorithm for Continuous Optimization
Emerson Hochsteiner de Vasconcelos Segundo, Gabriel Fiori Neto, Andre Mendes da Silva, Viviana Cocco Mariani, Leandro dos Santos Coelho
17:04–17:22 ABC+ES: A Novel Hybrid Artificial Bee Colony Algorithm with Evolution
Strategies
Marco Antônio Florenzano Mollinetti, Daniel Leal Souza, Otávio Noura Teixeira
17:22–17:40 A Speed-Up and Speed-Down Strategy for Swarm Optimization
Haopeng Zhang, Fumin Zhang, Qing Hui
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