IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'07)

Table of Contents

Multi-Criteria Decision-Making: The Intersection of Search, Preference Tradeoff, and Interaction Visualization Processes...1

Piero Bonissone

Fuzzy Multi-Objective Mission Flight Planning in Unmanned Aerial Systems...2

Paul Wu, Reece Clothier, Duncan Campbell and Rodney Walker

UAV Swarm Mission Planning and Routing using Multi-Objective Evolutionary Algorithms...10

Gary Lamont, James Slear and Kenneth Melendez

Tools and Techniques for Managing Many-Criteria Decision-Making...21

Peter Fleming

MCDM Techniques Selection Approaches: State of the Art...22

Elena Kornyshova and Camille Salinesi

Modeling Vague Data with Genetic Fuzzy Systems under a Combination of Crisp and Imprecise Criteria...30

Luciano Sanchez, Ines Couso and Jorge Casillas

Robust Basis of Interval Multiobjective Linear and Quadratic Programming...38

Masaaki Ida

Relation between Pareto-Optimal Fuzzy Rules and Pareto-Optimal Fuzzy Rule Sets...42

Hisao Ishibuchi, Isao Kuwajima and Yusuke Nojima

Multiobjective Genetic Algorithm for Extracting Subgroup Discovery Fuzzy Rules...50

Pedro Gonzalez, Maria Jose del Jesus and Francisco Herrera

Fuzzy Optimization with Multi-Objective Evolutionary Algorithms: a Case Study...58

Gracia Sanchez, Fernando Jimenez and Pandian Vasant

Strategy Generation Under Uncertainty Using Bayesian Networks and Black Box Optimization...65

Eli Faulkner

An interactive fuzzy satisficing method through particle swarm optimization for multiobjective nonlinear programming problems...71

Takeshi Matsui, Masatoshi Sakawa, Kosuke Kato, Takeshi Uno and Koichi Tamada

Interactive fuzzy programming based on a probability maximization model using genetic algorithms for two-level integer programming problems involving random variable coefficients...77

Kosuke Kato and Masatoshi Sakawa

Decision Making under Subjective Uncertainty...85

Fabio Campos, Andre Neves and Fernando Campello de Souza

Variants of Differential Evolution for Multi-Objective Optimization...91

Karin Zielinski and Rainer Laur

Managing Population Diversity Through the Use of Weighted Objectives and Modified Dominance: An Example from Data Mining...99

Alan Reynolds and Beatriz de la Iglesia

Use of Radial Basis Functions and Rough Sets for Evolutionary Multi-Objective Optimization...107

Luis V. Santana-Quintero, Victor Serrano-Hernandez, Carlos A. Coello Coello, Alfredo Hernandez-Diaz and Julian Molina

Deciding on the Ideal Channel Coefficients in Multi-Channel Manufacturing...115

Feristah Ozcelik

Nonlinear dynamic system identification based on multiobjectively selected RBF networks...122

Nobuhiko Kondo, Toshiharu Hatanaka and Katsuji Uosaki

Improving Classifier Fusion Using Particle Swarm Optimization...128

Kalyan Veeramachaneni, Lisa Osadciw, Kai Goebel and Yan Weizhong

A Review of Two Industrial Deployments of Multi-criteria Decision-making Systems at General Electric...136

Raj Subbu, Piero Bonissone, Srinivas Bollapragada, Kete Chalermkraivuth and Neil Eklund

Development of an Integrated Decision Support System to Aid the Cognitive Activities of Operators in Main Control Rooms of Nuclear Power Plants...146

Seung Jun Lee, Kun Mo and Poong Hyun Seong

A New MCDM Approach to Solve Public Sector Planning Problems...153

Pervin Kaplan and S. Ranji Ranjithan

Tradeoffs on the Efficient Frontier of Network Disruption Attacks...160

Mark Carroll, John Josephson and James Russell

Multi-criteria Set Partitioning for Portfolio Management: A Visual Interactive Method...166

Raj Subbu, Gregory Russo, Kete Chalermkraivuth and Jose Celaya

A Proposal of Visualization of Multi-Objective Pareto Solutions -Development of Mining Technique for Solutions-...172

Daisuke Yamashiro, Tomohiro Yoshikawa and Takeshi Furuhashi

Interactive Utility Maximization in Multi-Objective Vehicle Routing Problems: A "Decision Maker in the Loop"-Approach...178

Martin Josef Geiger, Wolf Wenger and Walter Habenicht

Exploring Robustness of Plans for Simulation-Based Course of Action Planning: A Framework and an Example...185

B. Chandrasekaran and Mark Goldman

The Interactive Pareto Iterated Local Search (iPILS) Metaheuristic and its Application to the Biobjective Portfolio Optimization Problem...193

Martin Josef Geiger

ISM Band Antenna Design Based on Fuzzy MCDM Selection Technique...200

Sai Ho Yeung, Kim Fung Man and Wing Shing Chan

Prediction of Stock Price Movements Based on Concept Map Information...205

Ankit Soni, Nees Jan van Eck and Uzay Kaymak

Multi-Criteria Identification of a Controllable Descending System...212

Vladimir Dobrokhodov and Roman Statnikov

Fuzzy Methods for Constructing Multi-Criteria Decision Functions...220

Ronald Yager

Efficient Decision Making with Interactions Between Goals...221

Rudolf Felix

Multicriterion Decision Making with Dependent Preferences...227

Wynn Stirling, Richard Frost, Matthew Nokleby and Yabing Luo

Multi-criterial Decision-Making and the Cognitive Arquitecture of Problem Solving...235

Balakrishnan Chandrasekaran

An interactive approach to integer linear vector optimization problems using enumerative cuts...236

Walter Habenicht

Stackelberg solutions to stochastic two-level linear programming problems...240

Hideki Katagiri, Ichiro Nishizaki, Masatoshi Sakawa and Kosuke Kato

Finding Representative Nondominated Points in Multiobjective Linear Programming...245

Lizhen Shao and Matthias Ehrgott

On the Convergence of Multi-Objective Descent Algorithms...253

Martin Brown and Nicky Hutauruk

A Multi-Objective Genetic Algorithm for Optimizing Highway Alignments...261

Manoj Jha and Avijit Maji

A Decision Making Framework for Dressing Consultant...267

Ching-I Cheng and Damon Shing-Min Liu

Automated Risk Classification and Outlier Detection...272

Naresh Iyer and Piero Bonissone

Obtaining robust decisions under uncertainty by sensitivity analysis on OWA operator...280

Mahdi Zarghaami, Reza Ardakanian and Ferenc Szidaroszky

Fuzzy multiple attribute decision making with eight types of preference information on alternatives...288

Quan Zhang, Wang Yucai and Yang Yuxian

The Application of Agent-Based Co-Evolutionary System with Predator-Prey Interactions to Solving Multi-Objective Optimization Problems...294

Rafal Drezewski and Leszek Siwik

Solving the Molecular Sequence Alignment Problem with Generalized Differential Evolution 3 (GDE3)...302

Saku Kukkonen, Sujit Jangam and Nirupam Chakraborti

Local Dominance Including Control of Dominance Area of Solutions in MOEAs...310

Hiroyuki Sato, Hernan Aguirre and Kiyoshi Tanaka

Two Decades Of Evolutionary Multi-Criterion Optimization: A Glance Back And A Look Ahead...318

Eckart Zitzler

Combining Aspiration Level Methods in Multi-objective Programming and Sequential Approximate Optimization using Computational Intelligence...319

Hirotaka Nakayama and Yeboon Yun

Playing in the Objective Space: Coupled Approximators for Multi-Objective Optimization...325

Harold Soh, Yew Soon Ong, Mohamed Salahuddin, Terence Hung and Bu Sung Lee

Crowding Population-based Ant Colony Optimisation for the Multi-objective Travelling Salesman Problem...333

Daniel Angus

Visualization Tools for Multicriteria Analysis of the Prototype Improvement Problem...341

Roman Statnikov, Kivanc Anil, Alex Bordetsky and Alexander Statnikov

A Spatial Classification Model for Multicriteria Analysis...348

Ana Del Amo, Luis Garmendia, Daniel Gomez and Javier Montero

A Two-level Information Filtering Model in Generating Warning Information...354

Jun Ma, Jie Lu and Guangquan Zhang

A Multi-Objective Solution Applying MOEA in Optical Networks...360

Yezid Donoso, Carolina Alvarado, Alfredo Perez and Ivan Herazo

An Application of Interactive Fuzzy Satisficing Approach with Particle Swarm Optimization for Multiobjective Emergency Facility Location Problem with A-distance...368

Takeshi Uno, Kato Kosuke and Katagiri Hideki

Fuzzy Decision Support for Service Selection in E-Business Environments...374

Stefan Schmidt, Elizabeth Chang, Tharam Dillon and Robert Steele

Use of the WFG Toolkit and PISA for Comparison of MOEAs...382

Lucas Bradstreet, Luigi Barone, Lyndon While, Simon Huband and Philip Hingston

Determination of Pruned Pareto Sets for the Multi-Objective System Redundancy Allocation Problem...390

Sadan Kulturel-Konak and David W. Coit

Stability of Optimal Solutions: Multi- and Single-Objective Approaches...395

Alex Podgaets and Wubbo Ockels