Mathematical Optimization and Decision Making
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Computational and Applied Mathematics".
Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 1765
Special Issue Editor
Interests: engineering design; decision based design; mathematical optimization; reliability engineering; systems engineering; decision analysis and sustainability
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Mathematical optimization and decision making is a rapidly growing field of research that aims to develop novel mathematical models, algorithms, computational methods, as well as analysis frameworks to support decision-making processes prevalent in many application areas. On the mathematical optimization side, this topic covers a wide range of optimization techniques, both classical and heuristic, for linear, nonlinear, convex, stochastic, and combinatorial optimization problems. On the decision-making side, it covers areas such as decision trees, game theory, and multi-criteria decision analysis as well as various non-classical decision-making methods, including quantum-inspired methods. The main objective of this research field is to improve the efficiency, effectiveness, and quality of decision-making processes encountered in complex systems such as transportation, energy, manufacturing, healthcare, finance, and engineering.
Dr. Vijitashwa Pandey
Guest Editor
Manuscript Submission Information
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Keywords
- optimization algorithms
- decision-making models
- multi-objective optimization
- computational optimization
- game theory
- stochastic programming
- network optimization
- linear programming
- integer programming
- nonlinear programming
- convex optimization
- combinatorial optimization
- simulation-based optimization
- global optimization
- optimization under uncertainty
- data-driven optimization
