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05/24/2023
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite
Box-constraints limit the domain of decision variables and are common in...
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05/19/2023
Applying Ising Machines to Multi-objective QUBOs
Multi-objective optimisation problems involve finding solutions with var...
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10/20/2022
A Study of Scalarisation Techniques for Multi-Objective QUBO Solving
In recent years, there has been significant research interest in solving...
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07/02/2022
Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata
Most statistical agencies release randomly selected samples of Census mi...
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06/28/2022
Combining Topic Modeling with Grounded Theory: Case Studies of Project Collaboration
This paper proposes an Artificial Intelligence (AI) Grounded Theory for ...
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06/28/2022
Cooperative Multi-Agent Search on Endogenously-Changing Fitness Landscapes
We use a multi-agent system to model how agents (representing firms) may...
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06/15/2022
Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature
Many methods for performing multi-objective optimisation of computationa...
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05/26/2022
Multi-objective QUBO Solver: Bi-objective Quadratic Assignment
Quantum and quantum-inspired optimisation algorithms are designed to sol...
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04/04/2022
A Data-Driven Framework for Identifying Investment Opportunities in Private Equity
The core activity of a Private Equity (PE) firm is to invest into compan...
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03/24/2022
Are Evolutionary Algorithms Safe Optimizers?
We consider a type of constrained optimization problem, where the violat...
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02/24/2022
SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms
We propose SonOpt, the first (open source) data sonification application...
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12/03/2021
Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study
Generative Adversarial Networks (GANs) are gaining increasing attention ...
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07/01/2021
Towards a fairer reimbursement system for burn patients using cost-sensitive classification
The adoption of the Prospective Payment System (PPS) in the UK National ...
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06/06/2021
What if we Increase the Number of Objectives? Theoretical and Empirical Implications for Many-objective Optimization
The difficulty of solving a multi-objective optimization problem is impa...
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02/26/2021
Heterogeneous Objectives: State-of-the-Art and Future Research
Multiobjective optimization problems with heterogeneous objectives are d...
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02/13/2021
HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis
Comprehensive benchmarking of clustering algorithms is rendered difficul...
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01/23/2021