Zeitschrift, Englisch
Erscheinungsweise: vierteljährlich
INFORMS Journal on Optimization (IJO) includes the following new areas: data-driven optimization; optimization methods in machine learning; and exciting real-world applications of optimization. In addition, the journal will publish papers in more traditional areas of optimization. Especially welcomed are contributions studying new and significant applications. A nonexclusive list of application areas the journal covers is: healthcare; inventory and supply chain management; logistics; revenue management and pricing; energy; the Internet; interfaces with computer science; and finance.
Zielgruppe
convex optimization (including linear optimization); general purpose nonlinear optimization; discrete optimization (combinatorial, integer, mixed integer optimization); optimization under uncertainty (dynamic programming, stochastic programming, robust optimization, simulation-based optimization); infinite dimensional optimization; and online optimization.
