Development and Optimization of Mathematical Models for Operations Research

• Other Authors: Rocha, Humberto (Editor), Rocha, Ana Maria (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Research & information: general; Mathematics & science; multi-time generalized Nash equilibrium problem; projected dynamical system; river basin pollution problem; traffic network equilibrium problem; variational inequality problem; freight transportation; heavy-haul railway; combination scheme; train timetable; genetic algorithm; trapezoidal type demand; interval-valued inventory costs; deterioration; preservation technology; QPSO algorithms; mixed integer nonlinear programming; piecewise linear approximation; branch and bound; pairwise comparison; matrix approximation; log-Chebyshev metric; tropical optimization; consumer preference; hotel selection; partial trade credit; cash discount; deteriorating items; EOQ; COVID-19; metaheuristics; project selection; portfolio management; resource; R&D; roadmap; program management; scheduling; unrelated parallel machines; sequence-dependent tasks; makespan; statistical analysis; global optimization; unconstrained minimization; numerical approximations of gradients; meta-heuristics; stochastic parameters; conjugate gradient methods; efficient algorithm; performance profiles; comparisons; testing; discrete optimization; dragonfly algorithm; optimization; swarm intelligence algorithms; traveling salesman problem
• Online Access: DOAB: download the publication; DOAB: description of the publication

The development of mathematical models and their optimization are fundamental for the effective resolution of many problems in operational research. In recent years, increased insights into real-world problems have led to the development of new mathematical models and optimization algorithms, contri...