For testing the addressed algorithms firstly a generator of 10,000 random linear programming problems of dimension n with m constraints, where , is introduced in order to simulate as many as possible ...

Zero-one integer programming relies on mutually exclusive yes (1) and no (0) decisions to find solutions to logic problems. In zero-one integer problems, each variable is represented only by 0 ...

Abstract: A systematic method for optimizing the time delay unit architecture (TDU-A) of a phased antenna array (PAA) is introduced. The problem is cast in the standard form of integer linear ...

This book was desigend originally for the undergraduete course ISE 3434 - "Deterministic Operations Research II" taught at Virginia Tech. I will cover topics in linear programming, integer programming ...

Linear programming is used to maximize or minimize a linear objective function subject to one or more constraints, while mixed integer programming (MIP) adds one additional condition: that at least ...

Therefore, it’s important to select the proper optimization solver for your application. In our case, because the objective function is in the form of minimizing the power, it’s natural to consider it ...

A novel method based on alternating linear programming optimization is presented to synthesize sparse linear arrays with sum and difference patterns. This method can find the optimized element ...