Learning Deterministic Finite Automata (DFA) is a hard task that has been much studied within machine learning and evolutionary computation research. This paper presents a new met...
We have recently introduced a hyper-heuristic genetic algorithm (hyper-GA) with an adaptive length chromosome which aims to evolve an ordering of low-level heuristics so as to find...
Abstract. This paper compares two grammar based Evolutionary Automatic Programming methods, Grammatical Evolution (GE) and Chorus. Both systems evolve sequences of derivation rules...
Recent research has found that operators frequently misconfigure Internet services, causing various availability and performance problems. In this paper, we propose a software inf...
Software systems bridge the gap between information processing needs and available computer hardware. As system requirements grow in complexity and hardware evolves, the gap does ...