Abstract. 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. esta...
The scheduling of exams in institutions of higher education is known to be a highly constrained problem. The advent of modularity in many institutions in the UK has resulted in a s...
In the global economy, proper organisation and planning of production and storage locations, transportation and scheduling are vital to retain the competitive edge of companies. Th...
Immune Algorithms have been used widely and successfully in many computational intelligence areas including optimization. Given the large number of variants of each operator of thi...
Vincenzo Cutello, Giuseppe Nicosia, Mario Romeo, P...
In this paper we introduce the first algorithms for efficiently learning a simulation policy for Monte-Carlo search. Our main idea is to optimise the balance of a simulation polic...