A comparative workflow, including linear and non-linear QSAR models, was carried out to evaluate the predictive accuracy of models and predict the inhibition activity of a series of aryl-substituted isobenzofuran-1(3H)-ones. The data set consisted of 34 compounds was classified into the training and test sets, randomly. Molecular descriptors were selected using the genetic algorithm (GA) as a f...

In the present study, two new hybrid approaches are proposed for predicting peak ground acceleration (PGA) parameter. The proposed approaches are based on the combinations of Adaptive Neuro-Fuzzy System (ANFIS) with Genetic Algorithm (GA), and with Particle Swarm Optimization (PSO). In these approaches, the PSO and GA algorithms are employed to enhance the accuracy of ANFIS model. To develop hy...

This paper discusses ongoing work towards a theoretical basis intended to facilitate the development of self-regulating adaptive systems. Self-regulation refers to the capacity of the system to assess the effects of, and modify, its own adaptive behaviour in prescribed ways at run-time. Although not new, the concept of self-regulation is largely missing from existing adaptive systems, arguably ...

Granuloma annulare (GA) is an idiopathic benign skin disease, characterized by annular dermal plaques or papules. Much is still unknown concerning its aetiology, association, and pathogenesis.We report two patients with generalized GA (GGA), with different age of presentation, co-morbidities, and disease morphology. Herein, we report two patients with GGA with different clinical features,...

Considering the trade-off relationship between brake specific fuel consumption (BSFC), combustion noise (CN) and NOx emission, it is a difficult task to optimize them simultaneously in marine diesel engine. In order overcome this problem, novel genetic algorithm improved chicken swarm optimization (GA-ICSO) hybrid was proposed, where enhanced Levy flight adaptive self-learning factor were intro...

Deep Neural Networks (DNNs) have become an essential and important supporting technology for smart Internet-of-Things (IoT) systems. Due to the high computational costs of large-scale DNNs, it might be infeasible directly deploy them in energy-constrained IoT devices. Through offloading computation-intensive tasks cloud or edges, computation offers a feasible solution execute DNNs. However, ene...

Adaptive (variable-length) codes associate variable-length codewords to symbols being encoded depending on the previous symbols in the input data string. This class of codes has been presented in [10, 11] as a new class of non-standard variable-length codes. Generalized adaptive codes (GA codes, for short) have been also presented in [10, 11] not only as a new class of nonstandard variable-leng...

Hyper-GA was introduced by the authors as a genetic algorithm based hyperheuristic which aims to evolve an ordering of low-level heuristics so as to find a good quality solution to a given problem. The adaptive length chromosome hyper-GA, let’s call it ALChyper-GA, is an extension of the authors previous work, in which the chromosome was of fixed length. The aim of a variable length chromosome ...