Professor DARIO LANDA SILVA's Outputs (58)

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.

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.

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.

CODEA : an agent based multi-objective optimization framework (2010)
Presentation / Conference Contribution
Castro-Gutierrez, J., Landa-Silva, D., & Moreno-Perez, J. CODEA : an agent based multi-objective optimization framework. Presented at VII Congreso Espaol sobre Metaheursticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2010)

This work presents CODEA, a COoperative DEcentralized Architecture for Multiobjective Optimization. CODEA is an objectoriented framework that aims at the creation of groups of agents to tackle complex problems by cooperative search. This cooperation... Read More about CODEA : an agent based multi-objective optimization framework.

Iterated heuristic algorithms for the classroom assignment problem (2010)
Presentation / Conference Contribution
Constantino, A. A., Filho, W. M., & Landa-Silva, D. Iterated heuristic algorithms for the classroom assignment problem. Presented at 2010 International Conference on the Practice and Theory of Automated Timetabling (PATAT 2010)

We tackle the classroom assignment problem in a large University with the objective of minimising the total distance between all classrooms assigned to teaching activities in the same course. Additional requirements that should be satisfied include:... Read More about Iterated heuristic algorithms for the classroom assignment problem.

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

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.

Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails (2010)
Presentation / Conference Contribution
Li, H., Landa-Silva, D., & Gandibleux, X. Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails. Presented at Proceedings of the 2010 IEEE Congress on Evolutionary Computation (CEC 2010)

Recently, the research on quantum-inspired evolutionary algorithms (QEA) has attracted some attention in the area of evolutionary computation. QEA use a probabilistic representation, called Q-bit, to encode individuals in population. Unlike standard... Read More about Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails.

Towards the design of heuristics by means of self-assembly (2010)
Presentation / Conference Contribution
Terrazas, G., Landa-Silva, D., & Krasnogor, N. Towards the design of heuristics by means of self-assembly. Presented at Developments in Computational Models (DCM 2010)

The current investigations on hyper-heuristics design have sprung up in two different flavours: heuristics that choose heuristics and heuristics that generate heuristics. In the latter, the goal is to develop a problem-domain independent strategy to... Read More about Towards the design of heuristics by means of self-assembly.

An improved version of volume dominance for multi-objective optimisation (2009)
Presentation / Conference Contribution
Le, K., Landa-Silva, D., & Li, H. (2009, April). An improved version of volume dominance for multi-objective optimisation. Presented at 5th International Conference, EMO 2009, Nantes, France

This paper proposes an improved version of volume dominance to assign fitness to solutions in Pareto-based multi-objective optimisation. The impact of this revised volume dominance on the performance of multi-objective evolutionary algorithms is inve... Read More about An improved version of volume dominance for multi-objective optimisation.

Evolutionary non-linear great deluge for university course timetabling (2009)
Presentation / Conference Contribution
Landa-Silva, D., & Obit, J. H. (2009, June). Evolutionary non-linear great deluge for university course timetabling. Presented at 4th International Conference, HAIS 2009, Salamanca, Spain

This paper presents a hybrid evolutionary algorithm to tackle university course timetabling problems. The proposed approach is an extension of a non-linear great deluge algorithm in which evolutionary operators are incorporated. First, we generate a... Read More about Evolutionary non-linear great deluge for university course timetabling.

Heuristic approach for automated shelf space allocation (2009)
Presentation / Conference Contribution
Landa-Silva, D., Marikar, F., & Le, K. (2009, March). Heuristic approach for automated shelf space allocation. Presented at AC09: The 2009 ACM Symposium on Applied Computing, Honolulu, Hawaii

Shelf space allocation is the problem of efficiently arranging retail products on shelves in order to maximise profit, improve stock control, improve customer satisfaction, etc. Most work reported in the literature on this problem has focused on the... Read More about Heuristic approach for automated shelf space allocation.

Great deluge with non-linear decay rate for solving course timetabling problems (2008)
Presentation / Conference Contribution
Landa-Silva, D., & Obit, J. H. (2008, September). Great deluge with non-linear decay rate for solving course timetabling problems. Presented at 2008 4th International IEEE Conference Intelligent Systems, IS 2008, Varna, Bulgaria

Course timetabling is the process of allocating, subject to constraints, limited rooms and timeslots for a set of courses to take place. Usually, in addition to constructing a feasible timetable (all constraints satisfied), there are desirable goals... Read More about Great deluge with non-linear decay rate for solving course timetabling problems.

Evolutionary multi-objective simulated annealing with adaptive and competitive search direction (2008)
Presentation / Conference Contribution
Li, H., & Landa-Silva, D. (2008, June). Evolutionary multi-objective simulated annealing with adaptive and competitive search direction. Presented at 2008 IEEE Congress on Evolutionary Computation, CEC 2008, Hong Kong, China

In this paper, we propose a population-based implementation of simulated annealing to tackle multi-objective optimisation problems, in particular those of combinatorial nature. The proposed algorithm is called Evolutionary Multiobjective Simulated An... Read More about Evolutionary multi-objective simulated annealing with adaptive and competitive search direction.

Adaptive and assortative mating scheme for evolutionary multi-objective algorithms (2008)
Presentation / Conference Contribution
Le, K., & Landa-Silva, D. (2007, October). Adaptive and assortative mating scheme for evolutionary multi-objective algorithms. Presented at 8th International Conference, Evolution Artificielle, EA 2007, Tours, France

We are interested in the role of restricted mating schemes in the context of evolutionary multi-objective algorithms. In this paper, we propose an adaptive assortative mating scheme that uses similarity in the decision space (genotypic assortative ma... Read More about Adaptive and assortative mating scheme for evolutionary multi-objective algorithms.

Obtaining better non-dominated sets using volume dominance (2007)
Presentation / Conference Contribution
Le, K., & Landa-Silva, D. (2007, September). Obtaining better non-dominated sets using volume dominance. Presented at 2007 IEEE Congress on Evolutionary Computation, CEC 2007, Singapore

An important goal in multiobjective optimisation is to And a good set of non-dominated solutions that is both well-distributed and well-converged. Most multiobjective optimisation algorithms use the conventional Pareto dominance relationship. Over re... Read More about Obtaining better non-dominated sets using volume dominance.

The teaching space allocation problem with splitting (2006)
Presentation / Conference Contribution
Beyrouthy, C., Burke, E. K., Landa-Silva, D., Mccollum, B., Mcmullan, P., & Parkes, A. J. (2006, August). The teaching space allocation problem with splitting. Presented at 6th International Conference, PATAT 2006, Brno, Czech Republic

A standard problem within universities is that of teaching space allocation which can be thought of as the assignment of rooms and times to various teaching activities. The focus is usually on courses that are expected to fit into one room. However,... Read More about The teaching space allocation problem with splitting.

Hybrid population-based metaheuristic approaches for the space allocation problem (2001)
Presentation / Conference Contribution
Burke, E. K., Cowling, P., & Landa Silva, J. D. (2001, May). Hybrid population-based metaheuristic approaches for the space allocation problem. Presented at IEEE Conference on Evolutionary Computation, ICEC, Seoul, South Korea

A hybrid population-based metaheuristic for the space allocation problem in academic institutions is presented that is based upon previous experiments using a range of techniques including hill-climbing, simulated annealing, tabu search and genetic a... Read More about Hybrid population-based metaheuristic approaches for the space allocation problem.

Three methods to automate the space allocation process in UK universities (2001)
Presentation / Conference Contribution
Burke, E. K., Cowling, P., Landa Silva, J. D., & McCollum, B. (2000, August). Three methods to automate the space allocation process in UK universities. Presented at Third International Conference, PATAT 2000, Konstanz, Germany

The space allocation problem within UK universities is highly constrained, has multiple objectives, varies greatly among different institutions, requires frequent modifications and has a direct impact on the functionality of the university. As in eve... Read More about Three methods to automate the space allocation process in UK universities.