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...
The relationship between search space, distances and genetic operators for syntactic trees is little understood. Geometric crossover and geometric mutation are representation-indep...
This paper extends a geometric framework for interpreting crossover and mutation [4] to the case of sequences. This representation is important because it is the link between artif...
The Nelder-Mead Algorithm (NMA) is an almost half-century old method for numerical optimization, and it is a close relative of Particle Swarm Optimization (PSO) and Differential Ev...
Genetic algorithms are often applied to combinatorial optimization problems, the most popular one probably being the traveling salesperson problem. In contrast to permutations use...