Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID8th EMO 2015: Guimarães, Portugal
- António Gaspar-Cunha
, Carlos Henggeler Antunes, Carlos A. Coello Coello:
Evolutionary Multi-Criterion Optimization - 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 -April 1, 2015. Proceedings, Part I. Lecture Notes in Computer Science 9018, Springer 2015, ISBN 978-3-319-15933-1
Theory and Hyper-Heuristics
- Cem Celal Tutum, Kalyanmoy Deb:
A Multimodal Approach for Evolutionary Multi-objective Optimization (MEMO): Proof-of-Principle Results. 3-18 - Chad M. Byers, Betty H. C. Cheng, Kalyanmoy Deb:
Unwanted Feature Interactions Between the Problem and Search Operators in Evolutionary Multi-objective Optimization. 19-33 - Aymeric Blot, Hernán E. Aguirre, Clarisse Dhaenens, Laetitia Jourdan, Marie-Eléonore Marmion, Kiyoshi Tanaka:
Neutral but a Winner! How Neutrality Helps Multiobjective Local Search Algorithms. 34-47 - Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle:
To DE or Not to DE? Multi-objective Differential Evolution Revisited from a Component-Wise Perspective. 48-63 - Daniel Horn, Tobias Wagner, Dirk Biermann, Claus Weihs, Bernd Bischl:
Model-Based Multi-objective Optimization: Taxonomy, Multi-Point Proposal, Toolbox and Benchmark. 64-78 - Sunith Bandaru, Kalyanmoy Deb:
Temporal Innovization: Evolution of Design Principles Using Multi-objective Optimization. 79-93 - Richard A. Gonçalves, Josiel Neumann Kuk, Carolina P. de Almeida, Sandra M. Venske:
MOEA/D-HH: A Hyper-Heuristic for Multi-objective Problems. 94-108 - Olacir R. Castro Jr., Aurora T. R. Pozo:
Using Hyper-Heuristic to Select Leader and Archiving Methods for Many-Objective Problems. 109-123
Algorithms
- Ran Cheng, Yaochu Jin, Kaname Narukawa:
Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts. 127-140 - Roman Denysiuk, Lino A. Costa, Isabel A. Espírito-Santo, José C. Matos:
MOEA/PC: Multiobjective Evolutionary Algorithm Based on Polar Coordinates. 141-155 - Adriana Menchaca-Méndez, Carlos A. Coello Coello:
GD-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Generational Distance Indicator. 156-170 - Arnaud Liefooghe, Sébastien Vérel, Luís Paquete, Jin-Kao Hao:
Experiments on Local Search for Bi-objective Unconstrained Binary Quadratic Programming. 171-186 - Dimo Brockhoff:
A Bug in the Multiobjective Optimizer IBEA: Salutary Lessons for Code Release and a Performance Re-Assessment. 187-201 - Yu Setoguchi, Kaname Narukawa, Hisao Ishibuchi:
A Knee-Based EMO Algorithm with an Efficient Method to Update Mobile Reference Points. 202-217 - Zutong Wang, Jiansheng Guo, Mingfa Zheng, Qifang He:
A Hybrid Algorithm for Stochastic Multiobjective Programming Problem. 218-232 - Martin Andersson, Sunith Bandaru, Amos H. C. Ng, Anna Syberfeldt:
Parameter Tuning of MOEAs Using a Bilevel Optimization Approach. 233-247 - Rui Wang, Qingfu Zhang, Tao Zhang:
Pareto Adaptive Scalarising Functions for Decomposition Based Algorithms. 248-262 - Pedro Carrasqueira, Maria João Alves, Carlos Henggeler Antunes:
A Bi-level Multiobjective PSO Algorithm. 263-276 - Tinkle Chugh, Karthik Sindhya, Jussi Hakanen, Kaisa Miettinen:
An Interactive Simple Indicator-Based Evolutionary Algorithm (I-SIBEA) for Multiobjective Optimization Problems. 277-291 - M. Fernanda P. Costa, Ana Maria A. C. Rocha, Edite M. G. P. Fernandes:
Combining Non-dominance, Objective-order and Spread Metric to Extend Firefly Algorithm to Multi-objective Optimization. 292-306 - Jaroslaw Rudy, Dominik Zelazny:
GACO: A Parallel Evolutionary Approach to Multi-objective Scheduling. 307-320 - Nobuo Namura, Koji Shimoyama, Shigeru Obayashi:
Kriging Surrogate Model Enhanced by Coordinate Transformation of Design Space Based on Eigenvalue Decomposition. 321-335 - Iraklis-Dimitrios Psychas, Magdalene Marinaki, Yannis Marinakis:
A Parallel Multi-Start NSGA II Algorithm for Multiobjective Energy Reduction Vehicle Routing Problem. 336-350 - Eric Medvet, Alberto Bartoli, Barbara Carminati, Elena Ferrari:
Evolutionary Inference of Attribute-Based Access Control Policies. 351-365 - Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb:
Hybrid Dynamic Resampling for Guided Evolutionary Multi-Objective Optimization. 366-380 - Sophie Jacquin, Lucien Mousin, Igor Machado Coelho, El-Ghazali Talbi, Laetitia Jourdan:
A Comparison of Decoding Strategies for the 0/1 Multi-objective Unit Commitment Problem. 381-395 - Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle:
Comparing Decomposition-Based and Automatically Component-Wise Designed Multi-Objective Evolutionary Algorithms. 396-410 - Richard A. Gonçalves, Carolina P. de Almeida, Aurora T. R. Pozo:
Upper Confidence Bound (UCB) Algorithms for Adaptive Operator Selection in MOEA/D. 411-425 - Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
Towards Understanding Bilevel Multi-objective Optimization with Deterministic Lower Level Decisions. 426-443
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-05-15 21:46 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
