Preselection via classification: a case study on global optimisation
Preselection via classification: a case study on global optimisation Jinyuan Zhang; Aimin Zhou; Guixu Zhang International Journal of Bio-Inspired Computation, Vol. 11, No. 4 (2018) pp. 267 - 281 In evolutionary optimisation, the preselection aims to choose promising solutions from a set of candidates for the fitness evaluation. It is usually based on the approximated fitness values, which are not necessary in many cases because we are usually interested in whether a candidate is promising or not instead of how promising it is. Actually, the preselection can be regarded as a classification process, i.e., to assign each candidate solution a label (+1 if promising or −1 otherwise). To this end, this paper proposes a <i>classification based preselection</i> (<i>CPS</i>) strategy and applies it to evolutionary optimisation. Systematic experiments are conducted to study the performance of CPS and the experimental results suggest that it can significantly improve the performance of some state-of-the-art evolutionary algorithms on most of the given test instances.
Multi-objective bat algorithm for mining numerical association rulesKamel Eddine Heraguemi; Nadjet Kamel; Habiba DriasInternational Journal of Bio-Inspired Computation, Vol. 11, No. 4 (2018) pp. 239 - 248Numerical association rule mining problem attracts the attention of researchers because ... more
A new method to solve optimisation problems via fixed point of firefly algorithmWenXin Yu; JunNian WangInternational Journal of Bio-Inspired Computation, Vol. 11, No. 4 (2018) pp. 249 - 256In this paper, we are going to introduce a novel iteractive method, leading us to find the fixed point ... more
An evolutionary approach to schedule deadline constrained bag of tasks in a cloudS. Sindhu; Saswati MukherjeeInternational Journal of Bio-Inspired Computation, Vol. 11, No. 4 (2018) pp. 229 - 238Bag of tasks (BoT) is an application model which consists of a large number of independent tasks ... more