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08/24/2023
Evolutionary Dynamic Optimization Laboratory: A MATLAB Optimization Platform for Education and Experimentation in Dynamic Environments
Many real-world optimization problems possess dynamic characteristics. E...
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04/08/2023
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks
The graph colouring problem consists of assigning labels, or colours, to...
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02/02/2023
Bayesian Optimization of Multiple Objectives with Different Latencies
Multi-objective Bayesian optimization aims to find the Pareto front of o...
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09/30/2022
Efficient computation of the Knowledge Gradient for Bayesian Optimization
Bayesian optimization is a powerful collection of methods for optimizing...
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09/05/2022
Multiobjective Ranking and Selection Using Stochastic Kriging
We consider multiobjective simulation optimization problems, where sever...
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07/30/2022
Tackling Neural Architecture Search With Quality Diversity Optimization
Neural architecture search (NAS) has been studied extensively and has gr...
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06/15/2022
Multi-Objective Hyperparameter Optimization – An Overview
Hyperparameter optimization constitutes a large part of typical modern m...
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07/23/2021
Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark
This document describes the generalized moving peaks benchmark (GMPB) an...
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06/11/2021
Generalized Moving Peaks Benchmark
This document describes the Generalized Moving Peaks Benchmark (GMPB) th...
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05/27/2021
One Step Preference Elicitation in Multi-Objective Bayesian Optimization
We consider a multi-objective optimization problem with objective functi...
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05/27/2021
Bayesian Optimisation for Constrained Problems
Many real-world optimisation problems such as hyperparameter tuning in m...
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02/05/2021
Reproducibility in Evolutionary Computation
Experimental studies are prevalent in Evolutionary Computation (EC), and...
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12/31/2020
Exploiting Transitivity for Top-k Selection with Score-Based Dueling Bandits
We consider the problem of top-k subset selection in Dueling Bandit prob...
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05/31/2020
Bayesian Optimisation vs. Input Uncertainty Reduction
Simulators often require calibration inputs estimated from real world da...
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05/08/2020
BOP-Elites, a Bayesian Optimisation algorithm for Quality-Diversity search
Quality Diversity (QD) algorithms such as MAP-Elites are a class of opti...
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11/20/2019
Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems
Due to its direct relevance to post-disaster operations, meter reading a...
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10/21/2019
