Abstract. Topological crossovers are a class of representation-independent operators that are well-defined once a notion of distance over the solution space is defined. In this pap...
Abstract. Size fair and homologous crossover genetic operators for tree based genetic programming are described and tested. Both produce considerably reduced increases in program s...
An empirical study is performed on the local-optimum space of graph bipartitioning. We examine some statistical features of the fitness landscape. They include the cost-distance c...
In the case where the search space has a group structure, classical genetic operators (mutation and two-parent crossover) which respect the group action are completely characterize...
Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
In the design of evolutionary multiobjective optimization (EMO) algorithms, it is important to strike a balance between diversity and convergence. Traditional mask-based crossover...