All Outputs (8)

An elitist GRASP metaheuristic for the multi-objective quadratic assignment problem (2010)
Conference Proceeding
Li, H., & Landa-Silva, D. (2010). An elitist GRASP metaheuristic for the multi-objective quadratic assignment problem. In Evolutionary Multi-Criterion Optimization: 5th International Conference, EMO 2009, Nantes, France, April 7-10, 2009. Proceedings, (481-494). https://doi.org/10.1007/978-3-642-01020-0_38

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)
Conference Proceeding
Landa-Silva, D., Castillo, A., Bowie, L., & Johnston, H. (2010). Towards an integrated workforce management system

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)
Conference Proceeding
Castro-Gutierrez, J., Landa-Silva, D., & Moreno-Perez, J. A. (2010). Improved dynamic lexicographic ordering for multi-objective optimisation.

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)
Conference Proceeding
Castro-Gutierrez, J., Landa-Silva, D., & Moreno-Perez, J. (2010). CODEA : an agent based multi-objective optimization framework.

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)
Conference Proceeding
Constantino, A. A., Filho, W. M., & Landa-Silva, D. (2010). Iterated heuristic algorithms for the classroom assignment problem.

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)
Conference Proceeding
Landa-Silva, D., Castillo, A., Bowie, L., & Johnston, H. (2010). Towards an integrated workforce management system.

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)
Conference Proceeding
Li, H., Landa-Silva, D., & Gandibleux, X. (2010). Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails.

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)
Conference Proceeding
Terrazas, G., Landa-Silva, D., & Krasnogor, N. (2010). Towards the design of heuristics by means of self-assembly.

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.