Reprint

Optimization Models and Applications

Edited by
February 2024
218 pages
  • ISBN978-3-7258-0138-1 (Hardback)
  • ISBN978-3-7258-0137-4 (PDF)

This book is a reprint of the Special Issue Optimization Models and Applications that was published in

Computer Science & Mathematics
Physical Sciences
Summary

Exploring the celestial expanse of optimization and its transformative applications, our featured reprint comprises a compilation that delves into the heart of optimization, unraveling the convergence of theory and practice across various domains.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
polynomial fractional-order system; robust controller; stability; stabilization; Mittag–Leffler stable; chaotic synchronization; sliding mode control; adaptive control; uncertainty; unknown time-delay; secure communication; reverse engineering; helical gear; evolutionary optimization techniques; grey wolf optimization; whale optimization; particle swarm optimization; genetic algorithm; pattern recognition; image processing; independent component analysis; Hopfield’s neural network; license plate; LPR; mass transfer problem; wavelets; multiresolution analysis; sit-to-stand; discrete mechanics; optimization; sit-to-stand determinates; K-Gf-pseudobonvexity; second-order; K-Gf-Wolfe type; efficient solution; multiobjective programming; arbitrary cones; strong duality; generalized assumptions; variational inequalities; non-constant gradient constraints; obstacle problem; nonlinear monotone operators; Lagrange multipliers; multi-criteria traffic network; robust vector equilibrium; min–max method; smoothing method; chaotic synchronization; fractional order sliding mode control; adaptive control; secure communication; fractional optimization; robust duality; constraint qualification condition; n/a