Sinopsis
As one of the most widely used techniques in operations research, mathematical programming is defined as a means of maximizing a quantity known as objective function, subject to a set of constraints represented by equations and inequalities. Some known subtopics of mathematical programming are linear programming, nonlinear programming, multiobjective programming, goal programming, dynamic programming, and multilevel programming. It is impossible to cover in a single chapter every concept of mathematical programming. This chapter introduces only the basic concepts and techniques of mathematical programming such that readers gain an understanding of them throughout the book.
Content
- Mathematical Programming
- Genetic Algorithms
- Neural Networks
- Stochastic Programming
- Fuzzy Programming
- Hybrid Programming
- Uncertain Programming
- System Reliability Design
- Project Scheduling Problem
- Vehicle Routing Problem
- Facility Location Problem
- Machine Scheduling Problem
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