Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007, Proceedings

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Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu, Tadahiko Murata
Springer Science & Business Media, Feb 12, 2007 - Computers - 954 pages
Multicriterion optimization refers to problems with two or more objectives (normally in conflict with each other) which must be simultaneously satisfied. Evolutionary algorithms have been used for solving multicriterion optimization problems for over two decades, gaining an increasing attention from industry. The 4th International Conference on Evolutionary Multi-criterion Optimization (EMO2007) was held during March 5–8, 2007, in Matsushima/Sendai, Japan. This was the fourth international conference dedicated entirely to this important topic, following the successful EMO 2001, EMO 2003 and EMO 2005 conferences, which were held in Zürich, Switzerland in March 2001, in Faro, Portugal in April 2003, and in Guanajuato, México in March 2005. EMO2007 was hosted by the Institute of Fluid Science, Tohoku University. EMO2007 was co-hosted by the Graduate School of Information Sciences, Tohoku University, the Japan Aerospace Exploration Agency (JAXA), and the Policy Grid Computing Laboratory, Kansai University. The EMO2007 scientific program included four keynote speakers: Hirotaka Nakayama on aspiration level methods, Kay Chen Tan on large and computationally intensive real-world MO optimization problems, Carlos Fonseca on decision making, and Gary B. Lamont on design of large-scale network centric systems.
 

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Contents

Programming and Their Engineering Applications
1
Improving the Efficacy of Multiobjective Evolutionary Algorithms for RealWorld Applications
2
Decision Making in Evolutionary Optimization
3
MOEAs in the Design of Network Centric Systems
4
Controlling Dominance Area of Solutions and Its Impact on the Performance of MOEAs
5
Designing Multiobjective Variation Operators Using a PredatorPrey Approach
21
Capabilities of EMOA to Detect and Preserve Equivalent Pareto Subsets
36
Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization
51
Evolutionary Algorithm Based Corrective Process Control System in Glass Melting Process
472
Biobjective Combined Facility Location and Network Design
486
Local Search Guided by Path Relinking and Heuristic Bounds
501
Rule Induction for Classification Using Multiobjective Genetic Programming
516
Combining Linear Programming and Multiobjective Evolutionary Computation for Solving a Type of Stochastic Knapsack Problem
531
Hybridizing Cellular Automata Principles and NSGAII for Multiobjective Design of Urban Water Networks
546
Using Multiobjective Evolutionary Algorithms to Assess Biological Simulation Models
560
An Application in Frame Bar Structures
575

ReliabilityBased Multiobjective Optimization Using Evolutionary Algorithms
66
Multiobjective Evolutionary Algorithms on Complex Networks
81
On Gradient Based Local Search Methods in Unconstrained Evolutionary Multiobjective Optimization
96
Symbolic Archive Representation for a Fast Nondominance Test
111
Design Issues in a Multiobjective Cellular Genetic Algorithm
126
A Dynamic Population Sizing Approach for Solving Expensive Multiobjective Optimization Problems
141
Pareto Descent Repair Operator
156
SteadyState Selection and Efficient Covariance Matrix Update in the Multiobjective CMAES
171
A Multitiered Memetic Multiobjective Evolutionary Algorithm for the Design of Quantum Cascade Lasers
186
Local Search in TwoFold EMO Algorithm to Enhance Solution Similarity for Multiobjective Vehicle Routing Problems
201
Mechanism of MultiObjective Genetic Algorithm for Maintaining the Solution Diversity Using Neural Network
216
Pareto Evolution and Coevolution in Cognitive Game AI Synthesis
227
The Development of a Multithreaded Multiobjective Tabu Search Algorithm
242
Differential Evolution Versus Genetic Algorithms in Multiobjective Optimization
257
A MultiObjective Particle Swarm Optimizer with Emphasis on Efficiency
272
A Novel Differential Evolution Algorithm Based on ϵDomination and Orthogonal Design Method for Multiobjective Optimization
286
Molecular Dynamics Optimizer
302
Sequential Approximation Method in Multiobjective Optimization Using Aspiration Level Approach
317
Drive Train and Driving Strategy
330
Multiobjective Evolutionary Neural Networks for Time Series Forecasting
346
Heatmap Visualization of Population Based Multi Objective Algorithms
361
Multiplex PCR Assay Design by Hybrid Multiobjective Evolutionary Algorithm
376
A Framework for Evolutionary Multiobjective Optimization
386
Multiobjective Evolutionary Algorithms for Resource Allocation Problems
401
Multiobjective Pole Placement with Evolutionary Algorithms
417
A Multiobjective Evolutionary Approach for Phylogenetic Inference
428
Perturbation Method
443
An Application to the FlowShop Scheduling Problem
457
A Multiobjective Approach to the Design of Conducting Polymer Composites for Electromagnetic Shielding
590
Evolutionary Multiobjective Optimization of Steel Structural Systems in Tall Buildings
604
Multi Criteria Decision Aiding Techniques to Select Designs After Robust Design Optimization
619
MOGAII for an Automotive Cooling Duct Optimization on Distributed Resources
633
Individual Evaluation Scheduling for ExperimentBased Evolutionary Multiobjective Optimization
645
A Multiobjectivization Approach for Vehicle Routing Problems
660
Designing TrafficSensitive Controllers for MultiCar Elevators Through Evolutionary Multiobjective Optimization
673
On the Interactive Resolution of Multiobjective Vehicle Routing Problems
687
Radar Waveform Optimisation as a ManyObjective Application Benchmark
700
Robust MultiObjective Optimization in High Dimensional Spaces
715
Substitute Distance Assignments in NSGAII for Handling ManyObjective Optimization Problems
727
Pareto Aggregation and IndicatorBased Methods in ManyObjective Optimization
742
Quantifying the Effects of Objective Space Dimension in Evolutionary Multiobjective Optimization
757
Employing Correntropy and a Novel Maximum Variance Unfolding
772
An Interactive Multiobjective Optimization and DecisionMaking Using Evolutionary Methods
788
A Case Study on Hydrothermal Power Scheduling
803
Acceleration of ExperimentBased Evolutionary Multiobjective Optimization Using Fitness Estimation
818
PredictionBased Population Reinitialization for Evolutionary Dynamic Multiobjective Optimization
832
multiMultiObjective Optimization Problem and Its Solution by a MOEA
847
On the Design of Paretocompliant Indicators Via Weighted Integration
862
The Multiple Multi Objective Problem Definition Solution and Evaluation
877
Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer
893
A Comparative Study of Progressive Preference Articulation Techniques for Multiobjective Optimisation
908
Test Problems Based on Lamé Superspheres
922
Overview of Artificial Immune Systems for Multiobjective Optimization
937
Author Index
952
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