Outputs (94)

Nature of real-world multi-objective vehicle routing with evolutionary algorithms (2011)
Presentation / Conference Contribution
Castro-Gutierrez, J., Landa-Silva, D., & Moreno Perez, J. Nature of real-world multi-objective vehicle routing with evolutionary algorithms. Presented at Proceedings of the 2011 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2011)

The Vehicle Routing Problem with Time Windows VRPTW) is an important logistics problem which in the realworld appears to be multi-objective. Most research in this area has been carried out using classic datasets designed for the single-objective case... Read More about Nature of real-world multi-objective vehicle routing with evolutionary algorithms.

Hybrid heuristic for multi-carrier transportation plans (2011)
Presentation / Conference Contribution
Landa-Silva, D., Wang, Y., Donovan, P., & Kendall, G. Hybrid heuristic for multi-carrier transportation plans. Presented at 9th Metaheuristics International Conference (MIC 2011)

This paper describes a hybrid heuristic approach to construct transportation plans for a singlecustomer multi-carrier scenario that arises at 3T Logistics Ltd, a UK company that provides outsourced transportation planning and management services. The... Read More about Hybrid heuristic for multi-carrier transportation plans.

Designing difficult office space allocation problem instances with mathematical programming (2011)
Presentation / Conference Contribution
Ulker, O., & Landa-Silva, D. Designing difficult office space allocation problem instances with mathematical programming. Presented at Experimental Algorithms10th International Symposium, SEA 2011

Office space allocation (OSA) refers to the assignment of room space to a set of entities (people, machines, roles, etc.), with the goal of optimising the space utilisation while satisfying a set of additional constraints. In this paper, a mathematic... Read More about Designing difficult office space allocation problem instances with mathematical programming.

Comparing hybrid constructive heuristics for university course timetabling (2011)
Presentation / Conference Contribution
Landa-Silva, D., & Obit, J. H. Comparing hybrid constructive heuristics for university course timetabling. Presented at VII ALIO/EURO Workshop on Applied Combinatorial Optimization

This extended abstract outlines four hybrid heuristics to generate initial solutions to the University course timetabling problem. These hybrid approaches combine graph colouring heuristics and local search in different ways. Results of experiments u... Read More about Comparing hybrid constructive heuristics for university course timetabling.

A heuristic algorithm for nurse scheduling with balanced preference satisfaction (2011)
Presentation / Conference Contribution
Constantino, A. A., Landa-Silva, D., Luiz de Melo, E., & Romao, W. A heuristic algorithm for nurse scheduling with balanced preference satisfaction. Presented at 2011 IEEE Symposium on Computational Intelligence in Scheduling (CISched 2011)

This paper tackles the nurse scheduling problem with balanced preference satisfaction which consists of generating an assignment of shifts to nurses over a given time horizon and ensuring that the satisfaction of nurses personal preferences for shift... Read More about A heuristic algorithm for nurse scheduling with balanced preference satisfaction.

Non-linear great deluge with reinforcement learning for university course timetabling (2011)
Book Chapter
Obit, J. H., Landa-Silva, D., Sevaux, M., & Ouelhadj, D. (2011). Non-linear great deluge with reinforcement learning for university course timetabling. In M. Caserta, & S. Voss (Eds.), Metaheuristics: intelligent decision making. Springer

This paper describes a non-linear great deluge hyper-heuristic incorporating a reinforcement learning mechanism for the selection of low-level heuristics and a non-linear great deluge acceptance criterion. The proposed hyper-heuristic deals with comp... Read More about Non-linear great deluge with reinforcement learning for university course timetabling.

An adaptive evolutionary multi-objective approach based on simulated annealing (2011)
Journal Article
Li, H., & Landa-Silva, D. (2011). An adaptive evolutionary multi-objective approach based on simulated annealing. Evolutionary Computation, 19(4), https://doi.org/10.1162/EVCO_a_00038

A multi-objective optimization problem can be solved by decomposing it into one or more single objective subproblems in some multi-objective metaheuristic algorithms. Each subproblem corresponds to one weighted aggregation function. For example, MOEA... Read More about An adaptive evolutionary multi-objective approach based on simulated annealing.

An elitist GRASP metaheuristic for the multi-objective quadratic assignment problem (2010)
Presentation / Conference Contribution
Li, H., & Landa-Silva, D. (2009, March). An elitist GRASP metaheuristic for the multi-objective quadratic assignment problem. Presented at EMO: International Conference on Evolutionary Multi-Criterion Optimization, Nantes, France

We propose an elitist Greedy Randomized Adaptive Search Procedure (GRASP) metaheuristic algorithm, called mGRASP/MH, for approximating the Pareto-optimal front in the multi-objective quadratic assignment problem (mQAP). The proposed algorithm is char... Read More about An elitist GRASP metaheuristic for the multi-objective quadratic assignment problem.

Towards an integrated workforce management system (2010)
Presentation / Conference Contribution
Landa-Silva, D., Castillo, A., Bowie, L., & Johnston, H. (2010, August). Towards an integrated workforce management system. Presented at PATAT 2010 - Proceedings of the 8th International Conference on the Practice and Theory of Automated Timetabling

We describe progress towards a workforce management system in which personnel scheduling is integrated with other important processes such as payroll processing, attendance and absence recording, staffing forecast and planning, etc. Our focus is on c... Read More about Towards an integrated workforce management system.

Improved dynamic lexicographic ordering for multi-objective optimisation (2010)
Presentation / Conference Contribution
Castro-Gutierrez, J., Landa-Silva, D., & Moreno-Perez, J. A. Improved dynamic lexicographic ordering for multi-objective optimisation. Presented at Parallel Problem Solving from Nature - PPSN XI, Lecture Notes in Computer Science, Vol. 6239

There is a variety of methods for ranking objectives in multiobjective optimization and some are difficult to define because they require information a priori (e.g. establishing weights in a weighted approach or setting the ordering in a lexicographi... Read More about Improved dynamic lexicographic ordering for multi-objective optimisation.