- Ved Prakash, Sumit Mishra, Carlos A. Coello Coello:
On the Computational Complexity of Efficient Non-dominated Sort Using Binary Search. EMO 2023: 419-432 - Susanne Rosenthal:
Selection Strategies for a Balanced Multi- or Many-Objective Molecular Optimization and Genetic Diversity: A Comparative Study. EMO 2023: 490-503 - Balija Santoshkumar, Kalyanmoy Deb, Lei Chen:
Eliminating Non-dominated Sorting from NSGA-III. EMO 2023: 71-85 - 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: 449-461 - Lennart Schäpermeier, Pascal Kerschke, Christian Grimme, Heike Trautmann:
Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets. EMO 2023: 291-304 - Seyed Mahdi Shavarani, Manuel López-Ibáñez, Richard Allmendinger, Joshua D. Knowles:
An Interactive Decision Tree-Based Evolutionary Multi-objective Algorithm. EMO 2023: 620-634 - Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato:
Pareto Front Upconvert by Iterative Estimation Modeling and Solution Sampling. EMO 2023: 218-230 - 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: 546-560 - Tea Tusar, Aljosa Vodopija, Bogdan Filipic:
Visual Exploration of the Effect of Constraint Handling in Multiobjective Optimization. EMO 2023: 3-16 - Diana Cristina Valencia-Rodríguez, Carlos A. Coello Coello:
A Novel Performance Indicator Based on the Linear Assignment Problem. EMO 2023: 348-360 - Phoenix Neale Williams, Ke Li, Geyong Min:
Sparse Adversarial Attack via Bi-objective Optimization. EMO 2023: 118-133 - Kaifeng Yang, Michael Affenzeller:
Surrogate-assisted Multi-objective Optimization via Genetic Programming Based Symbolic Regression. EMO 2023: 176-190 - Jinyuan Zhang, Linjun He, Hisao Ishibuchi:
An Improved Fuzzy Classifier-Based Evolutionary Algorithm for Expensive Multiobjective Optimization Problems with Complicated Pareto Sets. EMO 2023: 231-246 - Rui Zhong, Masaharu Munetomo:
Cooperative Coevolutionary NSGA-II with Linkage Measurement Minimization for Large-Scale Multi-objective Optimization. EMO 2023: 43-55 - Michael Emmerich, André H. Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke Li, Kaisa Miettinen, Iryna Yevseyeva:
Evolutionary Multi-Criterion Optimization - 12th International Conference, EMO 2023, Leiden, The Netherlands, March 20-24, 2023, Proceedings. Lecture Notes in Computer Science 13970, Springer 2023, ISBN 978-3-031-27249-3 [contents] - 2021
- Bekir Afsar, Kaisa Miettinen, Ana Belen Ruiz:
An Artificial Decision Maker for Comparing Reference Point Based Interactive Evolutionary Multiobjective Optimization Methods. EMO 2021: 619-631 - 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: 311-322 - Joseph Billingsley, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas:
Parallel Algorithms for the Multiobjective Virtual Network Function Placement Problem. EMO 2021: 708-720 - Julian Blank, Kalyanmoy Deb:
Constrained Bi-objective Surrogate-Assisted Optimization of Problems with Heterogeneous Evaluation Times: Expensive Objectives and Inexpensive Constraints. EMO 2021: 257-269 - Marius Bommert, Günter Rudolph:
Kernel Density Estimation for Reliable Biobjective Solution of Stochastic Problems. EMO 2021: 53-64 - Yumeng Cao, Yaqing Hou, Liang Feng, Hongwei Ge, Qiang Zhang, Xiaopeng Wei:
A Study on Realtime Task Selection Based on Credit Information Updating in Evolutionary Multitasking. EMO 2021: 480-491 - Eduardo G. Carrano, Felipe Campelo, Ricardo H. C. Takahashi:
Diversity-Driven Selection Operator for Combinatorial Optimization. EMO 2021: 178-190 - Jingjing Chen, Qingfu Zhang, Genghui Li:
MOEA/D for Multiple Multi-objective Optimization. EMO 2021: 152-163 - Yi Chen, Hemant Kumar Singh, Aimin Zhou, Tapabrata Ray:
A Fast Converging Evolutionary Algorithm for Constrained Multiobjective Portfolio Optimization. EMO 2021: 283-295 - 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: 89-101 - Dawei Ding, Haibo Zhang, Xianheng Ding, Xiuyin Zhang:
Multiobjective Optimization Design of Broadband Dual-Polarized Base Station Antenna. EMO 2021: 769-778 - Jesús Guillermo Falcón-Cardona, Edgar Covantes Osuna, Carlos A. Coello Coello:
An Overview of Pair-Potential Functions for Multi-objective Optimization. EMO 2021: 401-412 - Zhun Fan, Zhi Yang, 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: 248-256 - Tianqi Gao, Wenyuan Qiao, Hao Li, Maoguo Gong, Gengchao Li, Jie Min:
Change Detection in SAR Images Based on Evolutionary Multiobjective Optimization and Superpixel Segmentation. EMO 2021: 734-745 - Adán José García, Julia Handl:
On the Interaction Between Distance Functions and Clustering Criteria in Multi-objective Clustering. EMO 2021: 504-515