All Outputs (8)

Designing a multi-agent approach system for distributed course timetabling (2011)
Presentation / Conference Contribution
Obit, J. H., Landa-Silva, D., Ouelhadj, D., Khan Vun, T., & Alfred, R. (2011). Designing a multi-agent approach system for distributed course timetabling.

This paper proposes tackling the difficult course timetabling problem using a multi-agent approach. The proposed design seeks to deal with the problem using a distributed solution environment in which a mediator agent coordinates various timetabling... Read More about Designing a multi-agent approach system for distributed course timetabling.

Nature of real-world multi-objective vehicle routing with evolutionary algorithms (2011)
Presentation / Conference Contribution
Castro-Gutierrez, J., Landa-Silva, D., & Moreno Perez, J. (2011). Nature of real-world multi-objective vehicle routing with evolutionary algorithms.

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. (2011). Hybrid heuristic for multi-carrier transportation plans.

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.

Comparing hybrid constructive heuristics for university course timetabling (2011)
Presentation / Conference Contribution
Landa-Silva, D., & Obit, J. H. (2011). Comparing hybrid constructive heuristics for university course timetabling.

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.

Designing difficult office space allocation problem instances with mathematical programming (2011)
Presentation / Conference Contribution
Ulker, O., & Landa-Silva, D. (2011). Designing difficult office space allocation problem instances with mathematical programming.

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.

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. (2011). A heuristic algorithm for nurse scheduling with balanced preference satisfaction.

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.

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.

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.