EMO

Keyphrases

Publications

2023

André H. Deutz, Michael Emmerich, Hao Wang
The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity. EMO (2023)
Fei Liu, Qingfu Zhang
A Two-Stage Algorithm for Integer Multiobjective Simulation Optimization. EMO (2023)
Ved Prakash, Sumit Mishra, Carlos A. Coello Coello
On the Computational Complexity of Efficient Non-dominated Sort Using Binary Search. EMO (2023)
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)
Seyed Mahdi Shavarani, Manuel López-Ibáñez, Richard Allmendinger, Joshua D. Knowles
An Interactive Decision Tree-Based Evolutionary Multi-objective Algorithm. EMO (2023)
Victoria Johnson, João A. Duro, Visakan Kadirkamanathan, Robin C. Purshouse
A Scalable Test Suite for Bi-objective Multidisciplinary Optimization. EMO (2023)
Hao Hao, Aimin Zhou
A Relation Surrogate Model for Expensive Multiobjective Continuous and Combinatorial Optimization. EMO (2023)
Susanne Rosenthal
Selection Strategies for a Balanced Multi- or Many-Objective Molecular Optimization and Genetic Diversity: A Comparative Study. EMO (2023)
Drishti Bhasin, Sajag Swami, Sarthak Sharma, Saumya Sah, Dhish Kumar Saxena, Kalyanmoy Deb
Investigating Innovized Progress Operators with Different Machine Learning Methods. EMO (2023)
Kaifeng Yang, Michael Affenzeller
Surrogate-assisted Multi-objective Optimization via Genetic Programming Based Symbolic Regression. EMO (2023)
Steve Huntsman
Diversity Enhancement via Magnitude. EMO (2023)
Hisao Ishibuchi, Yang Nan, Lie Meng Pang
Performance Evaluation of Multi-objective Evolutionary Algorithms Using Artificial and Real-world Problems. EMO (2023)
Diana Cristina Valencia-Rodríguez, Carlos A. Coello Coello
A Novel Performance Indicator Based on the Linear Assignment Problem. EMO (2023)
Sebastian Mai, Tobias Benecke, Sanaz Mostaghim
MACO: A Real-World Inspired Benchmark for Multi-objective Evolutionary Algorithms. EMO (2023)
Tea Tusar, Aljosa Vodopija, Bogdan Filipic
Visual Exploration of the Effect of Constraint Handling in Multiobjective Optimization. EMO (2023)
Linjun He, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan
Preference-Based Nonlinear Normalization for Multiobjective Optimization. EMO (2023)
Ping Guo, Qingfu Zhang, Xi Lin
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. EMO (2023)
Arnaud Liefooghe, Sébastien Vérel, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen
Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective. EMO (2023)
Shiqing Liu, Xueming Yan, Yaochu Jin
End-to-End Pareto Set Prediction with Graph Neural Networks for Multi-objective Facility Location. EMO (2023)
Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang
Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems. EMO (2023)
Giomara Lárraga, Bhupinder Singh Saini, Kaisa Miettinen
Incorporating Preference Information Interactively in NSGA-III by the Adaptation of Reference Vectors. EMO (2023)
Julia Heise, Sanaz Mostaghim
Online Learning Hyper-Heuristics in Multi-Objective Evolutionary Algorithms. EMO (2023)
Jinyuan Zhang, Linjun He, Hisao Ishibuchi
An Improved Fuzzy Classifier-Based Evolutionary Algorithm for Expensive Multiobjective Optimization Problems with Complicated Pareto Sets. EMO (2023)
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)
Krzysztof Michalak, Mario Giacobini
Multiobjective Optimization of Evolutionary Neural Networks for Animal Trade Movements Prediction. EMO (2023)
Angus Kenny, Tapabrata Ray, Hemant Kumar Singh, Xiaodong Li
A Test Suite for Multi-objective Multi-fidelity Optimization. EMO (2023)
Abhiroop Ghosh, Kalyanmoy Deb, Ronald C. Averill, Erik D. Goodman
IK-EMOViz: An Interactive Knowledge-Based Evolutionary Multi-objective Optimization Framework. EMO (2023)
Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato
Pareto Front Upconvert by Iterative Estimation Modeling and Solution Sampling. EMO (2023)
Paramita Biswas, Anirban Mukhopadhyay
A Multi-objective Evolutionary Framework for Identifying Dengue Stage-Specific Differentially Co-expressed and Functionally Enriched Gene Modules. EMO (2023)
Balija Santoshkumar, Kalyanmoy Deb, Lei Chen
Eliminating Non-dominated Sorting from NSGA-III. EMO (2023)
Kalyanmoy Deb, Aryan Gondkar, Anirudh Suresh
Learning to Predict Pareto-Optimal Solutions from Pseudo-weights. EMO (2023)
Lie Meng Pang, Yang Nan, Hisao Ishibuchi
Partially Degenerate Multi-objective Test Problems. EMO (2023)
Ritam Guha, Kalyanmoy Deb
RegEMO: Sacrificing Pareto-Optimality for Regularity in Multi-objective Problem-Solving. EMO (2023)
Bekir Afsar, Johanna M. Silvennoinen, Kaisa Miettinen
A Systematic Way of Structuring Real-World Multiobjective Optimization Problems. EMO (2023)
Rui Zhong, Masaharu Munetomo
Cooperative Coevolutionary NSGA-II with Linkage Measurement Minimization for Large-Scale Multi-objective Optimization. EMO (2023)
Krzysztof Michalak
Evolutionary Algorithms with Machine Learning Models for Multiobjective Optimization in Epidemics Control. EMO (2023)
Renzhi Chen, Ke Li
Data-Driven Evolutionary Multi-objective Optimization Based on Multiple-Gradient Descent for Disconnected Pareto Fronts. EMO (2023)
Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm Versus Column Generation Method. EMO (2023)
Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci
Improving MOEA/D with Knowledge Discovery. Application to a Bi-objective Routing Problem. EMO (2023)
Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman
Multi-objective Learning Using HV Maximization. EMO (2023)
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)
Phoenix Neale Williams, Ke Li, Geyong Min
Sparse Adversarial Attack via Bi-objective Optimization. EMO (2023)
Lennart Schäpermeier, Pascal Kerschke, Christian Grimme, Heike Trautmann
Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets. EMO (2023)
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)

volume 13970, 2023

Evolutionary Multi-Criterion Optimization - 12th International Conference, EMO 2023, Leiden, The Netherlands, March 20-24, 2023, Proceedings EMO 13970 (2023)

2021

volume 12654, 2021

Evolutionary Multi-Criterion Optimization - 11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021, Proceedings EMO 12654 (2021)