82 citations · 306 across the 10 of their papers we have counts for
5 papers · 1 filter
A Component Based Heuristic Search method with Adaptive Perturbations for Hospital Personnel Scheduling
Jingpeng Li, Uwe Aickelin, Edmund Burke
Nurse rostering is a complex scheduling problem that affects hospital personnel on a daily basis all over the world. This paper presents a new component-based approach with adaptiv…
Improved Squeaky Wheel Optimisation for Driver Scheduling
Uwe Aickelin, Edmund Burke, Jingpeng Li
This paper presents a technique called Improved Squeaky Wheel Optimisation for driver scheduling problems. It improves the original Squeaky Wheel Optimisations effectiveness and ex…
Investigating a Hybrid Metaheuristic For Job Shop Rescheduling
Salwani Abdullah, Uwe Aickelin, Edmund Burke +2
Previous research has shown that artificial immune systems can be used to produce robust schedules in a manufacturing environment. The main goal is to develop building blocks (anti…
Investigating Artificial Immune Systems For Job Shop Rescheduling In Changing Environments
Uwe Aickelin, Edmund Burke, Aniza Din
Artificial immune system can be used to generate schedules in changing environments and it has been proven to be more robust than schedules developed using a genetic algorithm. Goo…
An Estimation of Distribution Algorithm with Intelligent Local Search for Rule-based Nurse Rostering
Uwe Aickelin, Edmund Burke, Jingpeng Li
This paper proposes a new memetic evolutionary algorithm to achieve explicit learning in rule-based nurse rostering, which involves applying a set of heuristic rules for each nurse…