6. EMO 2011:
Ouro Preto,
Brazil
Ricardo H. C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner, Salvatore Greco (Eds.):
Evolutionary Multi-Criterion Optimization - 6th International Conference, EMO 2011, Ouro Preto, Brazil, April 5-8, 2011. Proceedings.
Lecture Notes in Computer Science 6576 Springer 2011, ISBN 978-3-642-19892-2
Theoretical Issues
- Sunith Bandaru, Kalyanmoy Deb:
Automated Innovization for Simultaneous Discovery of Multiple Rules in Bi-objective Problems.
1-15
- Tobias Wagner, Heike Trautmann, Luis Martí:
A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms.
16-30
- Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Not All Parents Are Equal for MO-CMA-ES.
31-45
- Manuel López-Ibáñez, Joshua Knowles, Marco Laumanns:
On Sequential Online Archiving of Objective Vectors.
46-60
- Ricardo H. C. Takahashi, Eduardo G. Carrano, Elizabeth F. Wanner:
On a Stochastic Differential Equation Approach for Multiobjective Optimization up to Pareto-Criticality.
61-75
- Lucas S. Batista, Felipe Campelo, Frederico G. Guimarães, Jaime A. Ramírez:
Pareto Cone ε-Dominance: Improving Convergence and Diversity in Multiobjective Evolutionary Algorithms.
76-90
- Christian Hirsch, Pradyumn Kumar Shukla, Hartmut Schmeck:
Variable Preference Modeling Using Multi-Objective Evolutionary Algorithms.
91-105
- Carlos M. Fonseca, Andreia P. Guerreiro, Manuel López-Ibáñez, Luís Paquete:
On the Computation of the Empirical Attainment Function.
106-120
- Michael T. M. Emmerich, Carlos M. Fonseca:
Computing Hypervolume Contributions in Low Dimensions: Asymptotically Optimal Algorithm and Complexity Results.
121-135
- Robin C. Purshouse, Cezar Jalba, Peter J. Fleming:
Preference-Driven Co-evolutionary Algorithms Show Promise for Many-Objective Optimisation.
136-150
- Antonio López Jaimes, Carlos A. Coello Coello, Hernán E. Aguirre, Kiyoshi Tanaka:
Adaptive Objective Space Partitioning Using Conflict Information for Many-Objective Optimization.
151-165
- Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Hiroyuki Ohyanagi, Yusuke Nojima:
Effects of the Existence of Highly Correlated Objectives on the Behavior of MOEA/D.
166-181
- Joseph M. Pasia, Hernán E. Aguirre, Kiyoshi Tanaka:
Improved Random One-Bit Climbers with Adaptive ε-Ranking and Tabu Moves for Many-Objective Optimization.
182-196
- Dhish Kumar Saxena, Qingfu Zhang, João A. Duro, Ashutosh Tiwari:
Framework for Many-Objective Test Problems with Both Simple and Complicated Pareto-Set Shapes.
197-211
Algorithms
- Karthik Sindhya, Ana Belen Ruiz, Kaisa Miettinen:
A Preference Based Interactive Evolutionary Algorithm for Multi-objective Optimization: PIE.
212-225
- Marlon Alexander Braun, Pradyumn Kumar Shukla, Hartmut Schmeck:
Preference Ranking Schemes in Multi-Objective Evolutionary Algorithms.
226-240
- Salvatore Greco, Benedetto Matarazzo, Roman Slowinski:
Interactive Multiobjective Mixed-Integer Optimization Using Dominance-Based Rough Set Approach.
241-253
- Thibaut Lust, Jacques Teghem, Daniel Tuyttens:
Very Large-Scale Neighborhood Search for Solving Multiobjective Combinatorial Optimization Problems.
254-268
- Ankur Sinha:
Bilevel Multi-objective Optimization Problem Solving Using Progressively Interactive EMO.
269-284
- Jean Paulo Martins, Antonio Helson Mineiro Soares, Danilo Vasconcellos Vargas, Alexandre Cláudio Botazzo Delbem:
Multi-objective Phylogenetic Algorithm: Solving Multi-objective Decomposable Deceptive Problems.
285-297
- Hossein Karshenas, Roberto Santana, Concha Bielza, Pedro Larrañaga:
Multi-objective Optimization with Joint Probabilistic Modeling of Objectives and Variables.
298-312
- Rituparna Datta, Kalyanmoy Deb:
A Bi-objective Based Hybrid Evolutionary-Classical Algorithm for Handling Equality Constraints.
313-327
- Eduardo G. Carrano, Lívia A. Moreira, Ricardo H. C. Takahashi:
A New Memory Based Variable-Length Encoding Genetic Algorithm for Multiobjective Optimization.
328-342
- Guilherme Palermo Coelho, Fernando J. Von Zuben:
A Concentration-Based Artificial Immune Network for Multi-objective Optimization.
343-357
Applications
- Kalyanmoy Deb, Ralph E. Steuer, Rajat Tewari, Rahul Tewari:
Bi-objective Portfolio Optimization Using a Customized Hybrid NSGA-II Procedure.
358-373
- António Gaspar-Cunha, Dirk Loyens, Ferrie van Hattum:
Aesthetic Design Using Multi-Objective Evolutionary Algorithms.
374-388
- David Greiner, Blas Galván, José M. Emperador, Máximo Méndez, Gabriel Winter:
Introducing Reference Point Using g-Dominance in Optimum Design Considering Uncertainties: An Application in Structural Engineering.
389-403
- André R. da Cruz, Rodrigo T. N. Cardoso, Ricardo H. C. Takahashi:
Multiobjective Dynamic Optimization of Vaccination Campaigns Using Convex Quadratic Approximation Local Search.
404-417
- Carlos Henrique N. de Resende Barbosa, Walmir Matos Caminhas, João Antônio de Vasconcelos:
Adaptive Technique to Solve Multi-objective Feeder Reconfiguration Problem in Real Time Context.
418-432
- Renata E. Onety, Gladston J. P. Moreira, Oriane M. Neto, Ricardo H. C. Takahashi:
Variable Neighborhood Multiobjective Genetic Algorithm for the Optimization of Routes on IP Networks.
433-447
- Jan Salmen, Lukas Caup, Christian Igel:
Real-Time Estimation of Optical Flow Based on Optimized Haar Wavelet Features.
448-461
- Newton Spolaôr, Ana Carolina Lorena, Huei Diana Lee:
Multi-objective Genetic Algorithm Evaluation in Feature Selection.
462-476
- Guillermo Cabrera, José Miguel Rubio León, Daniela Díaz, Boris Fernández, Claudio Cubillos, Ricardo Soto:
A Cultural Algorithm Applied in a Bi-Objective Uncapacitated Facility Location Problem.
477-491
- José Elias Claudio Arroyo, André G. Santos, Paula M. dos Santos, Wellington G. Ribeiro:
A Bi-objective Iterated Local Search Heuristic with Path-Relinking for the p-Median Problem.
492-504
- Gilberto Montibeller, Hugo Yoshizaki:
A Framework for Locating Logistic Facilities with Multi-Criteria Decision Analysis.
505-519
- Atefeh Moghaddam, Farouk Yalaoui, Lionel Amodeo:
Lorenz versus Pareto Dominance in a Single Machine Scheduling Problem with Rejection.
520-534
- Leonardo C. T. Bezerra, Elizabeth Ferreira Gouvea Goldbarg, Luciana S. Buriol, Marco César Goldbarg:
GRACE: A Generational Randomized ACO for the Multi-objective Shortest Path Problem.
535-549
MCDM
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