Influence of Bloat Control on Relocation Rules Automatically Designed via Genetic Programming. [PDF]
Škalec T, Đurasević M.
europepmc +1 more source
A Short‐Cut Design Approach to Evaluate Reboiler Designs in Vapor Recompression Scenarios
A short‐cut model framework that incorporates mechanical vapor recompression (MVR) requirements into reboiler design is presented, which is particularly beneficial during early process development with limited data or initial feasibility assessments.
Franziska Lais +2 more
wiley +1 more source
A two-stage improved variable neighborhood search-sine cosine algorithm for the multi-row layout problem with safety consideration. [PDF]
Rifai AP, Sari WP.
europepmc +1 more source
Optimization of 3D‐Printed Structured Packings—Current State and Future Developments
This paper gives an overview about structured packing development for distillation, surveying heuristic development cycles, computational fluid dynamics simulations, and additive manufacturing techniques. The emerging application of shape optimization to improve packings is emphasized, and its benefits, impact, and limitations are discussed.
Dennis Stucke +3 more
wiley +1 more source
Advancing stochastic 3-SAT solvers by dissipating oversatisfied constraints. [PDF]
Schwardt J, Budich JC.
europepmc +1 more source
Heuristics and the Inductive Method [PDF]
openaire +1 more source
Revisiting acidulation for tall oil and lignin manufacturing
Abstract Tall oil is a byproduct of the kraft pulping process when softwood is used as raw material. As the production of softwood‐based pulp is in high demand, the optimization of the tall oil production process needs to be revisited to ensure the highest quality and quantity of tall oil manufacturing. In this work, the process for tall oil production
Thomas Aro, Weijue Gao, Pedram Fatehi
wiley +1 more source
A New Ant Colony Optimization-Based Dynamic Path Planning and Energy Optimization Model in Wireless Sensor Networks for Mobile Sink by Using Mixed-Integer Linear Programming. [PDF]
Chen F, Wu X, Wang Z, Qi W, Li P.
europepmc +1 more source
Abstract This paper proposes an online process fault diagnosis scheme that integrates principal component analysis, Andrews function, autoencoder, and multilayer feedforward neural network to enhance the fault diagnosis performance. Useful features are extracted from the online monitoring data by using Andrews function (also known as Andrews plot).
Shengkai Wang, Jie Zhang
wiley +1 more source
Advancing image-based meta-analysis through systematic use of crowdsourced NeuroVault data. [PDF]
Peraza JA +6 more
europepmc +1 more source

