Evolutionary Multi-Criterion Optimization: Third International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005, Proceedings

Overview

This book constitutes the refereed proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization, EMO 2005, held in Guanajuato, Mexico, in March 2005.

The 59 revised full papers presented together with 2 invited papers and the summary of a tutorial were carefully reviewed and selected from the 115 papers submitted. The papers are organized in topical sections on algorithm improvements, incorporation of preferences, performance analysis and ...

See more details below
Paperback (2005)
$193.17
BN.com price
(Save 7%)$209.00 List Price
Other sellers (Paperback)
  • All (6) from $79.37   
  • New (3) from $154.02   
  • Used (3) from $79.37   
Sending request ...

Overview

This book constitutes the refereed proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization, EMO 2005, held in Guanajuato, Mexico, in March 2005.

The 59 revised full papers presented together with 2 invited papers and the summary of a tutorial were carefully reviewed and selected from the 115 papers submitted. The papers are organized in topical sections on algorithm improvements, incorporation of preferences, performance analysis and comparison, uncertainty and noise, alternative methods, and applications in a broad variety of fields.

Read More Show Less

Product Details

Table of Contents

Invited Talks.- The Evolution of Optimality: De Novo Programming.- Many-Objective Optimization: An Engineering Design Perspective.- Tutorial.- 1984-2004 – 20 Years of Multiobjective Metaheuristics. But What About the Solution of Combinatorial Problems with Multiple Objectives?.- Algorithm Improvements.- Omni-optimizer: A Procedure for Single and Multi-objective Optimization.- An EMO Algorithm Using the Hypervolume Measure as Selection Criterion.- The Combative Accretion Model – Multiobjective Optimisation Without Explicit Pareto Ranking.- Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms.- An Efficient Multi-objective Evolutionary Algorithm: OMOEA-II.- Path Relinking in Pareto Multi-objective Genetic Algorithms.- Dynamic Archive Evolution Strategy for Multiobjective Optimization.- Searching for Robust Pareto-Optimal Solutions in Multi-objective Optimization.- Multi-objective MaxiMin Sorting Scheme.- Multiobjective Optimization on a Budget of 250 Evaluations.- Initial Population Construction for Convergence Improvement of MOEAs.- Multi-objective Go with the Winners Algorithm: A Preliminary Study.- Incorporation of Preferences.- Exploiting Comparative Studies Using Criteria: Generating Knowledge from an Analyst’s Perspective.- A Multiobjective Evolutionary Algorithm for Deriving Final Ranking from a Fuzzy Outranking Relation.- Performance Analysis and Comparison.- Exploring the Performance of Shastic Multiobjective Optimisers with the Second-Order Attainment Function.- Recombination of Similar Parents in EMO Algorithms.- A Scalable Multi-objective Test Problem Toolkit.- Extended Multi-objective fast messy Genetic Algorithm Solving Deception Problems.- Comparing Classical Generating Methods with an Evolutionary Multi-objective Optimization Method.- A New Analysis of the LebMeasure Algorithm for Calculating Hypervolume.- Effects of Removing Overlapping Solutions on the Performance of the NSGA-II Algorithm.- Selection, Drift, Recombination, and Mutation in Multiobjective Evolutionary Algorithms on Scalable MNK-Landscapes.- Comparison Between Lamarckian and Baldwinian Repair on Multiobjective 0/1 Knapsack Problems.- The Value of Online Adaptive Search: A Performance Comparison of NSGAII,—-NSGAII and—MOEA.- Uncertainty and Noise.- Fuzzy-Pareto-Dominance and its Application in Evolutionary Multi-objective Optimization.- Multi-objective Optimization of Problems with Epistemic Uncertainty.- Alternative Methods.- The Naive ID A: A Baseline Multi–objective EA.- New Ideas in Applying Scatter Search to Multiobjective Optimization.- A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts.- Clonal Selection with Immune Dominance and Anergy Based Multiobjective Optimization.- A Multi-objective Tabu Search Algorithm for Constrained Optimisation Problems.- Improving PSO-Based Multi-objective Optimization Using Crowding, Mutation and—-Dominance.- DEMO: Differential Evolution for Multiobjective Optimization.- Applications.- Multi-objective Model Selection for Support Vector Machines.- Exploiting the Trade-off — The Benefits of Multiple Objectives in Data Clustering.- Extraction of Design Characteristics of Multiobjective Optimization – Its Application to Design of Artificial Satellite Heat Pipe.- Gray Coding in Evolutionary Multicriteria Optimization: Application in Frame Structural Optimum Design.- Multi-objective Genetic Algorithms to Create Ensemble of Classifiers.- Multi-objective Model Optimization for Inferring Gene Regulatory Networks.- High-Fidelity Multidisciplinary Design Optimization of Wing Shape for Regional Jet Aircraft.- Photonic Device Design Using Multiobjective Evolutionary Algorithms.- Multiple Criteria Lot-Sizing in a Foundry Using Evolutionary Algorithms.- Multiobjective Shape Optimization Using Estimation Distribution Algorithms and Correlated Information.- Evolutionary Multi-objective Environmental/Economic Dispatch: Shastic Versus Deterministic Approaches.- A Multi-objective Approach to Integrated Risk Management.- An Approach Based on the Strength Pareto Evolutionary Algorithm 2 for Power Distribution System Planning.- Proposition of Selection Operation in a Genetic Algorithm for a Job Shop Rescheduling Problem.- A Two-Level Evolutionary Approach to Multi-criterion Optimization of Water Supply Systems.- Evolutionary Multi-objective Optimization for Simultaneous Generation of Signal-Type and Symbol-Type Representations.- A Multi-objective Memetic Algorithm for Intelligent Feature Extraction.- Solving the Aircraft Engine Maintenance Scheduling Problem Using a Multi-objective Evolutionary Algorithm.- Finding Pareto-Optimal Set by Merging Attractors for a Bi-objective Traveling Salesmen Problem.- Multiobjective EA Approach for Improved Quality of Solutions for Spanning Tree Problem.- Developments on a Multi-objective Metaheuristic (MOMH) Algorithm for Finding Interesting Sets of Classification Rules.- Preliminary Investigation of the ‘Learnable Evolution Model’ for Faster/Better Multiobjective Water Systems Design.- Particle Evolutionary Swarm for Design Reliability Optimization.- Multiobjective Water Pinch Analysis of the Cuernavaca City Water Distribution Network.- Multi-objective Vehicle Routing Problems Using Two-Fold EMO Algorithms to Enhance Solution Similarity on Non-dominated Solutions.- Multi-objective Optimisation of Turbomachinery Blades Using Tabu Search.

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)