Improving vehicle routing using a customer waiting time colony.
Sa'adah, S., Ross, P., & Paechter, B. (2004)
Improving vehicle routing using a customer waiting time colony. In J. Gottlieb, & G. Raidl (Eds.), Evolutionary Computation in Combinatorial Optimization, 188-198. https://doi.org/10.1007/978-3-540-24652-7_19
In the vehicle routing problem with time windows (VRPTW), there are two main objectives. The primary objective is to reduce the number of vehicles, the secondary one is to min...
A Hyper-Heuristic classifier for one dimensional bin packing problems: Improving classification accuracy by attribute evolution.
Sim, K., Hart, E., & Paechter, B. (2012)
A Hyper-Heuristic classifier for one dimensional bin packing problems: Improving classification accuracy by attribute evolution. In Parallel Problem Solving from Nature: PPSN XII, (348-357). https://doi.org/10.1007/978-3-642-32964-7_35
A hyper-heuristic for the one dimensional bin packing problem is presented that uses an Evolutionary Algorithm (EA) to evolve a set of attributes that characterise a problem i...
Metaheuristics for university course timetabling.
Lewis, R. M. R., Paechter, B., & Rossi-Doria, O. (2007)
Metaheuristics for university course timetabling. In K. Dahal, K. Chen Tan, & P. Cowling (Eds.), Evolutionary Scheduling, (237-272). Berlin / Heidelberg: Springer. https://doi.org/10.1007/978-3-540-48584-1_9
In this chapter we consider the NP-complete problem of university
course timetabling. We note that it is often difficult to gain a deep understanding
of these sorts of problem...
Multi-Objective Optimisation of the Pump Scheduling Problem using SPEA2.
Lopez-Ibanez, M., Devi Prasad, T., & Paechter, B. (2005)
Multi-Objective Optimisation of the Pump Scheduling Problem using SPEA2. https://doi.org/10.1109/CEC.2005.1554716
Significant operational cost and energy savings can be achieved by optimising the schedules of pumps, which pump water from source reservoirs to storage tanks, in water distri...