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Computer Aided Methods in Optimal Design and Operations cover

This book covers different topics on optimal design and operations with particular emphasis on chemical engineering applications. A wide range of optimization methods — deterministic, stochastic, global and hybrid — are considered.

Containing papers presented at the bilateral workshop by British and Lithuanian scientists, the book brings together researchers' contributions from different fields — chemical engineering including reaction and separation processes, food and biological production, as well as business cycle optimization, bankruptcy, protein analysis and bioinformatics.

Sample Chapter(s)
Chapter 1: Hybrid Methods for Optimisation (520 KB)


Contents:
  • Hybrid Methods for Optimisation (E S Fraga)
  • An MILP Model for Multi-Class Data Classification (G Xu & L G Papageorgiou)
  • Studying the Rate of Convergence of the Steepest Descent Optimisation Algorithm with Relaxation (R J Haycroft)
  • Optimal Estimation of Parameters in Market Research Models (V Savani)
  • A Redundancy Detection Approach to Mining Bioinformatics Data (H Camacho & A Salhi)
  • Optimal Open-Loop Recipe Generation for Particle Size Distribution Control in Semi-Batch Emulsion Polymerisation (N Bianco & C D Immanuel)
  • Multidimensional Scaling Using Parallel Genetic Algorithm (A Varoneckas et al.)
  • Evaluating the Applicability of Time Temperature Integrators as Process Exploration and Validation Tools (S Bakalis et al.)
  • Optimal Deflection Yoke Tuning (V Vaitkus et al.)
  • and other papers

Readership: Academics, researchers, practitioners and postgraduates students in operations research and engineering.