| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Renzhi Chen, Ke Li 0001 |
Data-Driven Evolutionary Multi-objective Optimization Based on Multiple-Gradient Descent for Disconnected Pareto Fronts.  |
EMO  |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Ksenia Pereverdieva, Michael Emmerich, André H. Deutz, Tessa Ezendam, Thomas Bäck, Hèrm Hofmeyer |
The Prism-Net Search Space Representation for Multi-objective Building Spatial Design. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Krzysztof Michalak, Mario Giacobini |
Multiobjective Optimization of Evolutionary Neural Networks for Animal Trade Movements Prediction. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Sagnik Sarkar, Siddhartha Devapujula, Hrishikesh Vidyadhar Ganu, Chaithanya Bandi, Ravindra Babu Tallamraju, Chilamakurthi Vamsikrishna Satya, Siddhant Doshi |
Joint Price Optimization Across a Portfolio of Fashion E-Commerce Products. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Jinyuan Zhang, Linjun He, Hisao Ishibuchi |
An Improved Fuzzy Classifier-Based Evolutionary Algorithm for Expensive Multiobjective Optimization Problems with Complicated Pareto Sets. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Lennart Schäpermeier, Pascal Kerschke, Christian Grimme, Heike Trautmann |
Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Kaifeng Yang, Michael Affenzeller |
Surrogate-assisted Multi-objective Optimization via Genetic Programming Based Symbolic Regression. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Giomara Lárraga, Bhupinder Singh Saini, Kaisa Miettinen |
Incorporating Preference Information Interactively in NSGA-III by the Adaptation of Reference Vectors. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Susanne Rosenthal |
Selection Strategies for a Balanced Multi- or Many-Objective Molecular Optimization and Genetic Diversity: A Comparative Study. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Drishti Bhasin, Sajag Swami, Sarthak Sharma, Saumya Sah, Dhish Kumar Saxena, Kalyanmoy Deb |
Investigating Innovized Progress Operators with Different Machine Learning Methods. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Shiqing Liu, Xueming Yan, Yaochu Jin |
End-to-End Pareto Set Prediction with Graph Neural Networks for Multi-objective Facility Location. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | André Thomaser, Marc-Eric Vogt, Anna V. Kononova, Thomas Bäck |
Transfer of Multi-objectively Tuned CMA-ES Parameters to a Vehicle Dynamics Problem. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Ritam Guha, Kalyanmoy Deb |
RegEMO: Sacrificing Pareto-Optimality for Regularity in Multi-objective Problem-Solving. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Yang Nan 0001, Hisao Ishibuchi, Tianye Shu, Ke Shang |
Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Julia Heise, Sanaz Mostaghim |
Online Learning Hyper-Heuristics in Multi-Objective Evolutionary Algorithms. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Phoenix Neale Williams, Ke Li 0001, Geyong Min |
Sparse Adversarial Attack via Bi-objective Optimization. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Ved Prakash, Sumit Mishra, Carlos A. Coello Coello |
On the Computational Complexity of Efficient Non-dominated Sort Using Binary Search. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman |
Multi-objective Learning Using HV Maximization. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | André H. Deutz, Michael Emmerich, Hao Wang 0025 |
The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Ping Guo 0007, Qingfu Zhang 0001, Xi Lin 0001 |
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich |
Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm Versus Column Generation Method. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci |
Improving MOEA/D with Knowledge Discovery. Application to a Bi-objective Routing Problem. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Hao Hao, Aimin Zhou |
A Relation Surrogate Model for Expensive Multiobjective Continuous and Combinatorial Optimization. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Michael Emmerich, André H. Deutz, Hao Wang 0025, Anna V. Kononova, Boris Naujoks, Ke Li 0001, Kaisa Miettinen, Iryna Yevseyeva (eds.) |
Evolutionary Multi-Criterion Optimization - 12th International Conference, EMO 2023, Leiden, The Netherlands, March 20-24, 2023, Proceedings |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Victoria Johnson, João A. Duro, Visakan Kadirkamanathan, Robin C. Purshouse |
A Scalable Test Suite for Bi-objective Multidisciplinary Optimization. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Linjun He, Yang Nan 0001, Hisao Ishibuchi, Dipti Srinivasan |
Preference-Based Nonlinear Normalization for Multiobjective Optimization. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Tea Tusar, Aljosa Vodopija, Bogdan Filipic |
Visual Exploration of the Effect of Constraint Handling in Multiobjective Optimization. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Bekir Afsar, Johanna M. Silvennoinen, Kaisa Miettinen |
A Systematic Way of Structuring Real-World Multiobjective Optimization Problems. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Rui Zhong, Masaharu Munetomo |
Cooperative Coevolutionary NSGA-II with Linkage Measurement Minimization for Large-Scale Multi-objective Optimization. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Krzysztof Michalak |
Evolutionary Algorithms with Machine Learning Models for Multiobjective Optimization in Epidemics Control. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Arnaud Liefooghe, Sébastien Vérel, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger 0001, Kaisa Miettinen |
Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Fei Liu, Qingfu Zhang 0001 |
A Two-Stage Algorithm for Integer Multiobjective Simulation Optimization. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Lie Meng Pang, Yang Nan 0001, Hisao Ishibuchi |
Partially Degenerate Multi-objective Test Problems. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Seyed Mahdi Shavarani, Manuel López-Ibáñez 0001, Richard Allmendinger 0001, Joshua D. Knowles |
An Interactive Decision Tree-Based Evolutionary Multi-objective Algorithm. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Diana Cristina Valencia-Rodríguez, Carlos A. Coello Coello |
A Novel Performance Indicator Based on the Linear Assignment Problem. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Balija Santoshkumar, Kalyanmoy Deb, Lei Chen 0044 |
Eliminating Non-dominated Sorting from NSGA-III. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Kalyanmoy Deb, Aryan Gondkar, Anirudh Suresh |
Learning to Predict Pareto-Optimal Solutions from Pseudo-weights. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Sebastian Mai, Tobias Benecke, Sanaz Mostaghim |
MACO: A Real-World Inspired Benchmark for Multi-objective Evolutionary Algorithms. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | António Gaspar-Cunha, Paulo Costa, Francisco José Monaco, Alexandre C. B. Delbem |
Scalability of Multi-objective Evolutionary Algorithms for Solving Real-World Complex Optimization Problems. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato |
Pareto Front Upconvert by Iterative Estimation Modeling and Solution Sampling. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Hisao Ishibuchi, Yang Nan 0001, Lie Meng Pang |
Performance Evaluation of Multi-objective Evolutionary Algorithms Using Artificial and Real-world Problems. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Steve Huntsman |
Diversity Enhancement via Magnitude. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Angus Kenny, Tapabrata Ray, Hemant Kumar Singh, Xiaodong Li |
A Test Suite for Multi-objective Multi-fidelity Optimization. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Abhiroop Ghosh, Kalyanmoy Deb, Ronald C. Averill, Erik D. Goodman |
IK-EMOViz: An Interactive Knowledge-Based Evolutionary Multi-objective Optimization Framework. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Paramita Biswas, Anirban Mukhopadhyay 0001 |
A Multi-objective Evolutionary Framework for Identifying Dengue Stage-Specific Differentially Co-expressed and Functionally Enriched Gene Modules. |
EMO |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Jiangjiao Xu, Ke Li 0001, Mohammad Abusara |
Multi-objective Reinforcement Learning Based Multi-microgrid System Optimisation Problem. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Deepak Nagar, Palaniappan Ramu, Kalyanmoy Deb |
Interpretable Self-Organizing Maps (iSOM) for Visualization of Pareto Front in Multiple Objective Optimization. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Changwu Huang, Lianghao Li, Cheng He 0001, Ran Cheng, Xin Yao 0001 |
Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Fei Liu, Qingfu Zhang 0001, Zhonghua Han |
MOEA/D with Gradient-Enhanced Kriging for Expensive Multiobjective Optimization. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Haokai Hong, Kai Ye 0005, Min Jiang 0005, Kay Chen Tan |
Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Qite Yang, Zhenkun Wang, Hisao Ishibuchi |
It Is Hard to Distinguish Between Dominance Resistant Solutions and Extremely Convex Pareto Optimal Solutions. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Roy de Winter, Bas van Stein, Thomas Bäck |
SAMO-COBRA: A Fast Surrogate Assisted Constrained Multi-objective Optimization Algorithm. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Yiming Peng, Hisao Ishibuchi |
Niching Diversity Estimation for Multi-modal Multi-objective Optimization. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Adán José García, Julia Handl |
On the Interaction Between Distance Functions and Clustering Criteria in Multi-objective Clustering. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Lianghao Li, Cheng He 0001, Ran Cheng, Linqiang Pan |
Manifold Learning Inspired Mating Restriction for Evolutionary Constrained Multiobjective Optimization. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Tuong Manh Vu, Eli Davies, Charlotte Buckley, Alan Brennan, Robin C. Purshouse |
Using Multi-objective Grammar-Based Genetic Programming to Integrate Multiple Social Theories in Agent-Based Modeling. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Kalyanmoy Deb, Sukrit Mittal, Dhish Kumar Saxena, Erik D. Goodman |
Embedding a Repair Operator in Evolutionary Single and Multi-objective Algorithms - An Exploitation-Exploration Perspective. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Hui Li 0020, Yuxiang Shui, Jianyong Sun, Qingfu Zhang 0001 |
Approximating Pareto Fronts in Evolutionary Multiobjective Optimization with Large Population Size. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Cheng He 0001, Ran Cheng |
Population Sizing of Evolutionary Large-Scale Multiobjective Optimization. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Anirudh Suresh, Kalyanmoy Deb, Vishnu Naresh Boddeti |
Towards Multi-objective Co-evolutionary Problem Solving. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Zhenshou Song, Handing Wang, Hongbin Xu |
Pareto-Based Bi-indicator Infill Sampling Criterion for Expensive Multiobjective Optimization. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Si-Chen Liu, Chunhua Chen, Zhi-Hui Zhan, Jun Zhang 0003 |
Multi-objective Emergency Resource Dispatch Based on Coevolutionary Multiswarm Particle Swarm Optimization. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Xinyu Shan, Ke Li 0001 |
An Improved Two-Archive Evolutionary Algorithm for Constrained Multi-objective Optimization. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Genghui Li, Qingfu Zhang 0001 |
Multitask Feature Selection for Objective Reduction. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Tenghui Hu, Xianpeng Wang 0002, Yao Wang, Zhiming Dong, Xinyu Zhuang |
Prediction of Blast Furnace Temperature Based on Evolutionary Optimization. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Meng Xu 0009, Qingfu Zhang 0001, Jianping Wang 0001 |
Discounted Sampling Policy Gradient for Robot Multi-objective Visual Control. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Mahrokh Javadi, Sanaz Mostaghim |
Using Neighborhood-Based Density Measures for Multimodal Multi-objective Optimization. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Tom Den Ottelander, Arkadiy Dushatskiy, Marco Virgolin, Peter A. N. Bosman |
Local Search is a Remarkably Strong Baseline for Neural Architecture Search. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Wu 0003, Jing Liu 0006, Chao Wang 0099, Kaixin Yuan |
Pareto Optimization for Influence Maximization in Social Networks. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Shuwei Zhu, Lihong Xu, Erik D. Goodman, Kalyanmoy Deb, Zhichao Lu |
The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective Optimization. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Dawei Ding, Haibo Zhang, Xianheng Ding, Xiuyin Zhang |
Multiobjective Optimization Design of Broadband Dual-Polarized Base Station Antenna. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Chang Shao, Qi Zhao, Yuhui Shi, Jing Jiang 0002 |
Generalized Test Suite for Continuous Dynamic Multi-objective Optimization. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Bing Wang, Hemant Kumar Singh, Tapabrata Ray |
Investigating Normalization Bounds for Hypervolume-Based Infill Criterion for Expensive Multiobjective Optimization. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Xiao-ke Liang, Yong Zhang 0016, Dun-Wei Gong |
Surrogate-Assisted Multi-objective Particle Swarm Optimization for Building Energy Saving Design. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Marius Bommert, Günter Rudolph |
Kernel Density Estimation for Reliable Biobjective Solution of Stochastic Problems. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Jean Rosenfeld, Dimitri Van Assche, Yves De Smet |
Lexicographic Constrained Multicriteria Ordered Clustering. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Yajie Zhang, Ye Tian 0009, Xingyi Zhang 0001 |
A Comparison Study of Evolutionary Algorithms on Large-Scale Sparse Multi-objective Optimization Problems. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Yumeng Cao, Yaqing Hou, Liang Feng 0001, Hongwei Ge, Qiang Zhang 0008, Xiaopeng Wei |
A Study on Realtime Task Selection Based on Credit Information Updating in Evolutionary Multitasking. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Eduardo G. Carrano, Felipe Campelo, Ricardo H. C. Takahashi |
Diversity-Driven Selection Operator for Combinatorial Optimization. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Lennart Schäpermeier, Christian Grimme, Pascal Kerschke |
To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Zhun Fan, Zhi Yang 0007, Yajuan Tang, Wenji Li, Biao Xu, Zhaojun Wang, Fuzan Sun, Zhoubin Long, Guijie Zhu |
An Improved Epsilon Method with M2M for Solving Imbalanced CMOPs with Simultaneous Convergence-Hard and Diversity-Hard Constraints. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Jesús Guillermo Falcón-Cardona, Edgar Covantes Osuna, Carlos A. Coello Coello |
An Overview of Pair-Potential Functions for Multi-objective Optimization. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Yi Xiang, Xue Peng, Xiaoyun Xia, Xianbing Meng, Sizhe Li, Han Huang 0002 |
An Investigation of Decomposition-Based Metaheuristics for Resource-Constrained Multi-objective Feature Selection in Software Product Lines. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Hao Wang 0025, Carlos Ignacio Hernández Castellanos, Tome Eftimov |
On Statistical Analysis of MOEAs with Multiple Performance Indicators. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Hisao Ishibuchi, Qingfu Zhang 0001, Ran Cheng, Ke Li 0001, Hui Li 0020, Handing Wang, Aimin Zhou (eds.) |
Evolutionary Multi-Criterion Optimization - 11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021, Proceedings |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Leonardo Lai, Lorenzo Fiaschi, Marco Cococcioni, Kalyanmoy Deb |
Handling Priority Levels in Mixed Pareto-Lexicographic Many-Objective Optimization Problems. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Ke Shang, Hisao Ishibuchi, Longcan Chen, Weiyu Chen, Lie Meng Pang |
Improving the Efficiency of R2HCA-EMOA. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Joseph Billingsley, Ke Li 0001, Wang Miao, Geyong Min, Nektarios Georgalas |
Parallel Algorithms for the Multiobjective Virtual Network Function Placement Problem. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Shouyong Jiang, Jinglei Guo, Bashar Alhnaity, Qingyang Zhang |
On Analysis of Irregular Pareto Front Shapes. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Pelin Aspar, Pascal Kerschke, Vera Steinhoff, Heike Trautmann, Christian Grimme |
Multi3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-objective Space by Means of Multiobjectivization. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Jens Weise, Sanaz Mostaghim |
Many-Objective Pathfinding Based on Fréchet Similarity Metric. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato |
Pareto Front Estimation Using Unit Hyperplane. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Tianqi Gao, Wenyuan Qiao, Hao Li 0009, Maoguo Gong, Gengchao Li, Jie Min |
Change Detection in SAR Images Based on Evolutionary Multiobjective Optimization and Superpixel Segmentation. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Felipe Vaz, Yuri Cossich Lavinas, Claus Aranha, Marcelo Ladeira |
Exploring Constraint Handling Techniques in Real-World Problems on MOEA/D with Limited Budget of Evaluations. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Diana Cristina Valencia-Rodríguez, Carlos A. Coello Coello |
The Influence of Swarm Topologies in Many-Objective Optimization Problems. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Jinyuan Zhang, Hisao Ishibuchi |
Multiobjective Optimization with Fuzzy Classification-Assisted Environmental Selection. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Shengran Hu, Ran Cheng, Cheng He 0001, Zhichao Lu |
Multi-objective Neural Architecture Search with Almost No Training. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Abhiroop Ghosh, Kalyanmoy Deb, Ronald C. Averill, Erik D. Goodman |
Combining User Knowledge and Online Innovization for Faster Solution to Multi-objective Design Optimization Problems. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Jianqing Lin, Cheng He 0001, Ran Cheng |
Dimension Dropout for Evolutionary High-Dimensional Expensive Multiobjective Optimization. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Jingjing Chen, Qingfu Zhang 0001, Genghui Li |
MOEA/D for Multiple Multi-objective Optimization. |
EMO |
2021 |
DBLP DOI BibTeX RDF |
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