3 papers
cs.NE2025
Evolutionary Algorithm for Chance Constrained Quadratic Multiple Knapsack Problem
Kokila Kasuni Perera, Aneta Neumann
Quadratic multiple knapsack problem (QMKP) is a combinatorial optimisation problem characterised by multiple weight capacity constraints and a profit function that combines linear…
cs.NE2025
Trust Region-Based Bayesian Optimisation to Discover Diverse Solutions
Kokila Kasuni Perera, Frank Neumann, Aneta Neumann
Bayesian optimisation (BO) is a surrogate-based optimisation technique that efficiently solves expensive black-box functions with small evaluation budgets. Recent studies consider…
cs.NE2023
Evolutionary Multi-Objective Algorithms for the Knapsack Problems with Stochastic Profits
Kokila Perera, Aneta Neumann, Frank Neumann
Evolutionary multi-objective algorithms have been widely shown to be successful when utilized for a variety of stochastic combinatorial optimization problems. Chance constrained op…