hyperheuristic

Customising optimisation metaheuristics via hyper-heuristic search (CUSTOMHyS). This framework provides tools for solving, but not limited to, continuous optimisation problems using a hyper-heuristic approach for customising metaheuristics.

SEAGE (Search Agents) is a hyper-heuristic framework for metaheuristic collaboration.

Neural network applied as hyper-heuristics to the knaspack problem.

Particle swarm, genetic algorithm and hybrid hyperheuristic for university timetabling — with the one field most papers omit: the objective evaluations each method actually spent, so hybrids can be compared at equal budget instead of equal iterations.

Our approach uses a Fuzzy Hyper Heuristic model for solving the Fightfighter problem. However, we mainly focus in the fuzzification stage, where we provide three different models using triangular, trapezoidal, and gaussian member functions to represent the features.

2011 BSc MORS - Combinatorial Optimisation