University of Stirling

LON/D — Sub-problem Landscape Analysis in Decomposition-Based Multi-objective Optimization

Liefooghe A, Ochoa G & Verel S (2025) LON/D — Sub-problem Landscape Analysis in Decomposition-Based Multi-objective Optimization. In: Evolutionary Computation in Combinatorial Optimization. Lecture ...
IEEE

A Bilayered Decomposition Technique for Handling Complex Constrained Multi-Objective Optimization Problems

Abstract: Constrained multi-objective optimization problems (CMOPs) are prevalent in real-world applications, dealing with multi-objective and constraint functions. Multiobjective evolutionary ...
IEEE

High-quality sub-function construction in functional decomposition based on information relationship measures

Abstract: Functional decomposition seems to be the most effective circuit synthesis approach for look-up table (LUT) FPGAs, (C)PLDs and complex gates. In the functional decomposition that targets LUT ...
GitHub

WFisher828/Surrogate-Based-Coordination-and-Decomposition-for-Multiobjective-Optimization

This repository includes code which was used for running simulation studies and conducting a case study in the paper "A Constrained Regression Approach to Data-Driven Decomposition for Many-Objective ...
GitHub

Efficient Arbitrary-Scale Image Super-Resolution via Functional Tensor Decomposition

Existing arbitrary-scale super-resolution (ASSR) methods suffer from quadratic computational complexity w.r.t. image scale due to the reliance on multi-layer perceptrons (MLPs) to query dense spatial ...