Sistem kimliklendirme ve modelleme için en yaygın kullanılan yapay zekâ tekniklerinden biri sinir ağlarıdır. Yapay ağları ile etkili sonuçlar elde etmek bir eğitim sürecine ihtiyaç duyulmaktadır. Meta-sezgisel algoritmalar pek çok gerçek dünya probleminin çözümünde başarılı şekilde kullanılmaktadır. Özellikle ağı eğitiminde, ağa ait parametrelerin optimizasyonu gerekmektedir. Son zamanlarda, bu...

The internet of things (IoT) concept has been extremely investigated in many modern smart applications, which enable a set sensors to either process the collected data locally or send them cloud for remote processing. Unfortunately, datacenters are located far away from IoT devices, and consequently, transmission may be delayed. In this paper, we investigate fog computing, is new paradigm that ...

This paper proposes a novel hybrid t-way test generation strategy (where t indicates interaction strength), called High Level Hyper-Heuristic (HHH). HHH adopts Tabu Search as its high level meta-heuristic and leverages on the strength of four low level meta-heuristics, comprising of Teaching Learning based Optimization, Global Neighborhood Algorithm, Particle Swarm Optimization, and Cuckoo Sear...

This paper describes how meta-level theories are used for analytic learning in MULTI-TAC. MULTI-TAC operationalizes generic heuristics for constraint-satisfaction problems, in order to create programs that are tailored to specific problems. For each of its generic heuris-tics, MULTI-TAC has a meta-theory specifically designed for operationalising that heuris-tic. We present examples of the spec...