Two-Level of Nondominated Solutions Approach to Multiobjective Particle Swarm Optimization (Page 726)
M. A. Abido (King Fahd University of Petroleum and Minerals)

An Informed Convergence Accelerator for Evolutionary Multiobjective Optimiser (Page 734)
S. F. Adra (The University of Sheffield)
I. Griffin (The University of Sheffield)
P. J. Fleming (The University of Sheffield)

COSMO: A Correlation Sensitive Mutation Operator for Multi-Objective Optimization (Page 741)
V. Aggarwal (Massachusetts Institute of Technology)
U.-M. O'Reilly (Massachusetts Institute of Technology)

An Evolutionary Multiobjective Approach to Design Highly Non-linear Boolean Functions (Page 749)
H. Aguirre (Shinshu University)
H. Okazaki (Shinshu University)
Y. Fuwa (Shinshu University)

Alternative Techniques to Solve Hard Multi-Objective Optimization Problems (Page 757)
R. L. Becerra (CINVESTAV-IPN)
C. A. C. Coello (CINVESTAV-IPN)
A. G. Hernández-Díaz (Universidad Pablo de Olavide)
R. Caballero (University of Málaga)
J. Molina (University of Málaga)

Do Additional Objectives Make a Problem Harder? (Page 765)
D. Brockhoff (ETH Zurich)
T. Friedrich (Max-Planck-Institut für Informatik)
N. Hebbinghaus (Max-Planck-Institut für Informatik)
C. Klein (Max-Planck-Institut für Informatik)
F. Neumann (Max-Planck-Institut für Informatik)
E. Zitzler (ETH Zurich)

Techniques for Highly Multiobjective Optimisation: Some Nondominated Points are Better than Others (Page 773)
D. Corne (Heriot-Watt University)
J. Knowles (University of Manchester)

Interactive Evolutionary Multi-Objective Optimization and Decision-Making using Reference Direction Method (Page 781)
K. Deb (Indian Institute of Technology Kanpur)
A. Kumar (Indian Institute of Technology Kanpur)

Methodology to Select Solutions from the Pareto-Optimal Set: A Comparative Study (Page 789)
J. C. Ferreira (University of Minho)
C. M. Fonseca (University of Algarve)
A. Gaspar-Cunha (University of Minho)

Approximating Covering Problems by Randomized Search Heuristics Using Multi-Objective Models (Page 797)
T. Friedrich (Max-Planck-Institut für Informatik)
J. He (University of Birmingham)
N. Hebbinghaus (Max-Planck-Institut für Informatik)
F. Neumann (Max-Planck-Institut für Informatik)
C. Witt (University of Dortmund)

Exploring the Behavior of Building Blocks for Multi-Objective Variation Operator Design using Predator-Prey Dynamics (Page 805)
C. Grimme (Dortmund University)
J. Lepping (Dortmund University)
A. Papaspyrou (Dortmund University)

Uniform Sampling of Local Pareto-Optimal Solution Curves by Pareto Path Following and its Applications in Multi-objective GA (Page 813)
K. Harada (Tokyo Institute of Technology)
J. Sakuma (Tokyo Institute of Technology)
S. Kobayashi (Tokyo Institute of Technology)

Using Evolutionary Computation and Local Search for Solving Multi-objective Flexible Job Shop Problems (Page 821)
N. B. Ho (Nanyang Technological University)
J. C. Tay (Nanyang Technological University)

Effects of the Use of Non-Geometric Binary Crossover on Evolutionary Multi-objective Optimization (Page 829)
H. Ishibuchi (Osaka Prefecture University)
Y. Nojima (Osaka Prefecture University)
N. Tsukamoto (Osaka Prefecture University)
K. Ohara (Osaka Prefecture University)

SNDL-MOEA: Stored Non-Domination Level MOEA (Page 837)
M. D. Johnson (University of Missouri-Rolla)
D. R. Tauritz (University of Missouri-Rolla)
R. W. Wilkerson (University of Missouri-Rolla)

An Analysis of the Events of Population Structure on Scalable Multiobjective Optimization Problems (Page 845)
M. Kirley (The University of Melbourne)
R. Stewart (The University of Melbourne)

Multi-Objective Hybrid PSO Using a Σ-Fuzzy Dominance (Page 853)
P. Koduru (Kansas State University)
S. Das (Kansas State University)
S. M. Welsh (Kansas State University)

Multiobjective Clustering with Automatic k-determination for Large-scale Data: Scalable automatic determination of the number of clusters (Page 861)
N. Matake (Doshisha University)
T. Hiroyasu (Doshisha University)
M. Miki (Doshisha University)
T. Senda (Doshisha University)

Multi-Objective Particle Swarm Optimization on Computer Grids (Page 869)
S. Mostaghim (University of Karlsruhe)
J. Branke (University of Karlsruhe)
H. Schmeck (University of Karlsruhe)

Optimal Antenna Placement Using a New Multi-Objective CHC Algorithm (Page 876)
A. J. Nebro (Universidad de Málaga)
E. Alba (Universidad de Málaga)
G. Molina (Universidad de Málaga)
F. Chicano (Universidad de Málaga)
F. Luna (Universidad de Málaga)
J. J. Durillo (Universidad de Málaga)

Guided Hyperplane Evolutionary Algorithm (Page 884)
C. Rotar (Babes-Bolyai University)
D. Dumitrescu (Babes-Bolyai University)
R. Lung (Babes-Bolyai University)

Convergence of Stochastic Search Algorithms to Gap-Free Pareto Front Approximations (Page 892)
O. Schuetze (INRIA Futurs)
M. Laumanns (ETH Zurich)
E. Tantar (INRIA Futurs)
C. A. C. Coello (CINVESTAV-IPN)
El-g. Talbi (INRIA Futurs)

Evolutionary Multiobjective Optimization: Posters

Interactive Multi-Objective Design of Long-Span Trusses (Page 902)
B. Bailey (Texas A&M - Kingsville)
A. Raich (Lafayette College)

An EC-Memory Based Method for the Multi-Objective TSP (Page 903)
I. Borgulya (University of Pécs)

Discussion of Parallel Model of Multi-Objective Genetic Algorithms on Heterogeneous Computational Resources (Page 904)
T. Hiroyasu (Doshisha University)
K. Yoshii (Doshisha University)
M. Miki (Doshisha University)

Multiobjective Evolutionary Algorithms for Designing Capacitated Network Centric Communications—Track: Evolutionary Multiobjective Optimization (Page 905)
M. P. Kleeman (Air Force Institute of Technology)
G. B. Lamont (Air Force Institute of Technology)
K. M. Hopkinson (Air Force Institute of Technology)
S. R. Graham (Air Force Institute of Technology)

Parallel Skeleton for Multi-Objective Optimization (Page 906)
C. León (Universidad de La Laguna)
G. Miranda (Universidad de La Laguna)
C. Segura (Universidad de La Laguna)

Performance Measures and Particle Swarm Methods for Dynamic Multiobjective Optimization Problems (Page 906)
X. Li (RMIT University)
J. Branke (University of Karlsruhe)
M. Kirley (Melbourne University)

A Framework of Quantum-inspired Multi-Objective Evolutionary Algorithms and its Convergence Condition (Page 908)
Z. Li (Hunan University)
G. Rudolph (Universität Dortmund)

Bicriteria Two-Machine Flowshop Scheduling using Metaheuristics (Page 909)
S. A. Mansouri (King's College London)
S. H. Hendizadeh (University of Manitoba)
N. Salmasi (Sharif University of Technology)

Incremental Refinement of Solutions for Multiple Objective Optimization Problems (Page 910)
C. Mariano-Romero (Mexican Institute of Water Technology)
V. Alcocer-Yamanaka (Mexican Institute of Water Technology)
E. F. Morales (INAOE)

A Cumulative Evidential Stopping Criterion for Multiobjective Optimization Evolutionary Algorithms (Page 911)
L. Martí (Universidad Carlos III de Madrid)
J. García (Universidad Carlos III de Madrid)
J. M. Molina (Universidad Carlos III de Madrid)

Hybrid Multiobjective Optimization Genetic Algorithms for Graph Drawing (Page 912)
D. Vrajitoru (Indiana University South Bend)

Dimensionality Reduction in Evolutionary Multiobjective Design: Case Study (Page 913)
P. Woźniak (Technical University of Łódź)