Dr Joan Alza Santos
Biography | I am a Research Assistant at the National Subsea Centre, a partnership between Robert Gordon University and the Net Zero Technology Centre, where I specialise in modelling, simulation, optimisation, and visualisation. In January 2025, I earned a PhD in Computational Intelligence from Robert Gordon University, defending my thesis, "Adaptive Challenge for Algebraic and Realistic Dynamic Benchmarks", with no corrections—a rare distinction. My doctoral research advanced dynamic optimisation by (i) developing a theoretical framework for fitness landscape rotation as a dynamic benchmark generator, (ii) introducing the concept of elusivity to measure algorithmic adaptability, and (iii) creating a novel methodology for generating realistic synthetic instances from real-world data, in collaboration with ARR Craib. Beyond academia, I have gained industrial experience through collaboration projects, such as fleet modelling with PlanSea, and predictive planning for offshore wind and fisheries assessment with Marine Scotland. |
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Research Interests | Dynamic Optimisation / Optimisation under Uncertainty Combinatorial Optimisation Evolutionary Computation Online Optimisation |
Scopus Author ID | 57204591958 |
PhD Supervision Availability | Yes |
PhD Topics | AI, Dynamic Optimization; Combinatorial Optimization; XOR DOP; Fitness Landscape Rotation; Group Theory; Elusivity; Adaptive Challenge; Evolutionary Algorithms; Real-World Optimization; Truck and Trailer Scheduling |
Ensure access to affordable, reliable, sustainable and modern energy for all
Build resilient infrastructure, promote inclusive and sustainable industrialisation and foster innovation
Make cities and human settlements inclusive, safe, resilient and sustainable
Take urgent action to combat climate change and its impacts