To facilitate decision support in freshwater ecosystem protection and restoration
management, habitat suitability models can be very valuable. Data driven methods such as …

Measurements are reported of the proton and deuteron spin structure functions g 1 p and g 1
d at beam energies of 29.1, 16.2, and 9.7 GeV, and g 2 p and g 2 d at a beam energy of 29.1 …

The multi-objective optimization of industrial operations using genetic algorithm and its
variants, often requires inordinately large amounts of computational (CPU) time. Any …

A new methodology for optimizing heat-integrated crude oil distillation systems is proposed
in this work. The new procedure considers an artificial neural networks (ANN) model for …

A novel genetic algorithm (GA) including chaotic variable named chaos-genetic algorithm
(CGA) was proposed. Due to the nature of chaotic variable, ie pseudo-randomness …

A hybrid artificial neural network-genetic algorithm (ANN-GA) was developed to model,
simulate and optimize the catalytic–dielectric barrier discharge plasma reactor. Effects of …

This work presents a methodology for optimizing heat-integrated crude oil distillation
systems. Part I of this three-part series presents a modeling strategy where artificial neural …

This study provides insights into the optimal operation of one of the most important refinery
units, namely, the crude distillation unit (CDU). A steady state model based on (C+ 3) …

This study provides insights into the optimal operation of the fluidized-bed catalytic cracking
unit (FCCU). A five-lump model is used to characterize the feed and the products. The model …

A model of artificial neural networks and genetic algorithms is developed for the analysis
and prediction of the correlation between CVI processing parameters and physical …