research
∙
07/13/2023
Investigating Normalization in Preference-based Evolutionary Multi-objective Optimization Using a Reference Point
Normalization of objectives plays a crucial role in evolutionary multi-o...
share
research
∙
04/07/2023
On the Unbounded External Archive and Population Size in Preference-based Evolutionary Multi-objective Optimization Using a Reference Point
Although the population size is an important parameter in evolutionary m...
research
∙
01/28/2023
Quality Indicators for Preference-based Evolutionary Multi-objective Optimization Using a Reference Point: A Review and Analysis
Some quality indicators have been proposed for benchmarking preference-b...
research
∙
04/28/2022
Benchmarking the Hooke-Jeeves Method, MTS-LS1, and BSrr on the Large-scale BBOB Function Set
This paper investigates the performance of three black-box optimizers ex...
research
∙
03/29/2022
A Two-phase Framework with a Bézier Simplex-based Interpolation Method for Computationally Expensive Multi-objective Optimization
This paper proposes a two-phase framework with a Bézier simplex-based in...
research
∙
09/17/2021
Benchmarking Feature-based Algorithm Selection Systems for Black-box Numerical Optimization
Feature-based algorithm selection aims to automatically find the best on...
research
∙
04/21/2021
Towards Exploratory Landscape Analysis for Large-scale Optimization: A Dimensionality Reduction Framework
Although exploratory landscape analysis (ELA) has shown its effectivenes...
research
∙
10/05/2020
TPAM: A Simulation-Based Model for Quantitatively Analyzing Parameter Adaptation Methods
While a large number of adaptive Differential Evolution (DE) algorithms ...
research
∙
10/02/2020
Reviewing and Benchmarking Parameter Control Methods in Differential Evolution
Many Differential Evolution (DE) algorithms with various parameter contr...
research
∙
10/02/2020
How Far Are We From an Optimal, Adaptive DE?
We consider how an (almost) optimal parameter adaptation process for an ...
research
∙
10/02/2020
An Analysis of Control Parameters of MOEA/D Under Two Different Optimization Scenarios
An unbounded external archive (UEA), which stores all nondominated solut...
research
∙
10/01/2020
Review and Analysis of Three Components of Differential Evolution Mutation Operator in MOEA/D-DE
A decomposition-based multi-objective evolutionary algorithm with a diff...
research
∙
10/01/2020
A Niching Indicator-Based Multi-modal Many-objective Optimizer
Multi-modal multi-objective optimization is to locate (almost) equivalen...
research
∙
09/30/2020
Non-elitist Evolutionary Multi-objective Optimizers Revisited
Since around 2000, it has been considered that elitist evolutionary mult...
research
∙
09/30/2020
A Framework to Handle Multi-modal Multi-objective Optimization in Decomposition-based Evolutionary Algorithms
Multi-modal multi-objective optimization is to locate (almost) equivalen...
research
∙
09/28/2020
A Review of Evolutionary Multi-modal Multi-objective Optimization
Multi-modal multi-objective optimization aims to find all Pareto optimal...
research
∙
09/27/2020
An Easy-to-use Real-world Multi-objective Optimization Problem Suite
Although synthetic test problems are widely used for the performance ass...
research
∙
09/27/2020
An Analysis of Quality Indicators Using Approximated Optimal Distributions in a Three-dimensional Objective Space
Although quality indicators play a crucial role in benchmarking evolutio...
research
∙
09/26/2020