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Parallel Problem Solving from Nature - PPSN XII

12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part II

  • Conference proceedings
  • © 2012

Overview

Editors:
  1. Carlos A. Coello Coello

    1. Departmento de Computation, Centro de Investigacion y de Estudios, Avanzados del Instituto Politecnico Nacional (CINVESTAV-IPN), Mexico, D.F., Mexico

  2. Vincenzo Cutello

    1. Department of Mathematics and Computer Science, University of Catania, Catania, Italy

  3. Kalyanmoy Deb

    1. Kanpur Genetic Algorithms Laboratory (KanGAL), Indian Institute of Technology, Kanpur, Kanpur, India

  4. Stephanie Forrest

    1. Department of Computer Science, University of New Mexico, USA

  5. Giuseppe Nicosia

    1. Department of Mathematics and Computer Science, University of Catania, Catania, Italy

  6. Mario Pavone

    1. Department of Mathematics and Computer Science, University of Catania, Catania, Italy

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  • Fast track conference proceedings
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7492)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: PPSN 2012.

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About this book

The two volume set LNCS 7491 and 7492 constitutes the refereed proceedings of the 12th International Conference on Parallel Problem Solving from Nature, PPSN 2012, held in Taormina, Sicily, Italy, in September 2012. The total of 105 revised full papers were carefully reviewed and selected from 226 submissions. The meeting began with 6 workshops which offered an ideal opportunity to explore specific topics in evolutionary computation, bio-inspired computing and metaheuristics. PPSN 2012 also included 8 tutorials. The papers are organized in topical sections on evolutionary computation; machine learning, classifier systems, image processing; experimental analysis, encoding, EDA, GP; multiobjective optimization; swarm intelligence, collective behavior, coevolution and robotics; memetic algorithms, hybridized techniques, meta and hyperheuristics; and applications.

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Table of contents (52 papers)

  1. Front Matter

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  2. Multiobjective Optimization

    1. Temporal Evolution of Design Principles in Engineering Systems: Analogies with Human Evolution

      • Kalyanmoy Deb, Sunith Bandaru, Cem Celal Tutum
      Pages 1-10

    2. Exploiting Prior Information in Multi-objective Route Planning

      • Antony Waldock, David W. Corne
      Pages 11-21

    3. Analysis on Population Size and Neighborhood Recombination on Many-Objective Optimization

      • Naoya Kowatari, Akira Oyama, Hernán Aguirre, Kiyoshi Tanaka
      Pages 22-31

    4. Clustering Criteria in Multiobjective Data Clustering

      • Julia Handl, Joshua Knowles
      Pages 32-41

    5. Enhancing Profitability through Interpretability in Algorithmic Trading with a Multiobjective Evolutionary Fuzzy System

      • Adam Ghandar, Zbigniew Michalewicz, Ralf Zurbruegg
      Pages 42-51

    6. Bootstrapping Aggregate Fitness Selection with Evolutionary Multi-Objective Optimization

      • Shlomo Israel, Amiram Moshaiov
      Pages 52-61

    7. Network Topology Planning Using MOEA/D with Objective-Guided Operators

      • Wei Peng, Qingfu Zhang
      Pages 62-71

    8. Elitist Archiving for Multi-Objective Evolutionary Algorithms: To Adapt or Not to Adapt

      • Hoang N. Luong, Peter A. N. Bosman
      Pages 72-81

    9. An Improved Multiobjectivization Strategy for HP Model-Based Protein Structure Prediction

      • Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregorio Toscano-Pulido
      Pages 82-92

    10. MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems

      • Hui Li, Xiaolei Su, Zongben Xu, Qingfu Zhang
      Pages 93-101

    11. A Study on Evolutionary Multi-Objective Optimization with Fuzzy Approximation for Computational Expensive Problems

      • Alessandro G. Di Nuovo, Giuseppe Ascia, Vincenzo Catania
      Pages 102-111

    12. Multi-objective Optimization for Selecting and Scheduling Observations by Agile Earth Observing Satellites

      • Panwadee Tangpattanakul, Nicolas Jozefowiez, Pierre Lopez
      Pages 112-121

    13. Tailoring ε-MOEA to Concept-Based Problems

      • Amiram Moshaiov, Yafit Snir
      Pages 122-131

    14. Recombination of Similar Parents in SMS-EMOA on Many-Objective 0/1 Knapsack Problems

      • Hisao Ishibuchi, Naoya Akedo, Yusuke Nojima
      Pages 132-142

  3. Swarm Intelligence, Collective Behaviour, Coevolution and Robotics

    1. An Artificial Bee Colony Algorithm for the Unrelated Parallel Machines Scheduling Problem

      • Francisco J. Rodriguez, Carlos García-Martínez, Christian Blum, Manuel Lozano
      Pages 143-152

    2. Controlling the Parameters of the Particle Swarm Optimization with a Self-Organized Criticality Model

      • Carlos M. Fernandes, Juan J. Merelo, Agostinho C. Rosa
      Pages 153-163

    3. The Apiary Topology: Emergent Behavior in Communities of Particle Swarms

      • Andrew McNabb, Kevin Seppi
      Pages 164-173

    4. ACO on Multiple GPUs with CUDA for Faster Solution of QAPs

      • Shigeyoshi Tsutsui
      Pages 174-184

    5. It’s Fate: A Self-organising Evolutionary Algorithm

      • Jan Bim, Giorgos Karafotias, S. K. Smit, A. E. Eiben, Evert Haasdijk
      Pages 185-194
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Other volumes

  1. Parallel Problem Solving from Nature - PPSN XII

  2. Parallel Problem Solving from Nature - PPSN XII

Editors and Affiliations

  • Departmento de Computation, Centro de Investigacion y de Estudios, Avanzados del Instituto Politecnico Nacional (CINVESTAV-IPN), Mexico, D.F., Mexico

    Carlos A. Coello Coello

  • Department of Mathematics and Computer Science, University of Catania, Catania, Italy

    Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone

  • Kanpur Genetic Algorithms Laboratory (KanGAL), Indian Institute of Technology, Kanpur, Kanpur, India

    Kalyanmoy Deb

  • Department of Computer Science, University of New Mexico, USA

    Stephanie Forrest

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