Improved Combinatorial Programming Algorithms for a Class of All-Zero-One Integer Programming Problems

TLDR: Pierce and Pierce as mentioned in this paper used combinatorial programming to solve a class of integer programming problems in which all elements are zero or one, by representing the problem elements in a binary computer as bits in a word and employing logical "and" and "or" operations in the problem-solving process.

Abstract: In an earlier paper [Pierce, J. F. 1968. Application of combinatorial programming to a class of all-zero-one integer programming problems. Management Sci.15 3, November 191--209.] combinatorial programming procedures were presented for solving a class of integer programming problems in which all elements are zero or one. By representing the problem elements in a binary computer as bits in a word and employing logical “and” and “or” operations in the problem-solving process, a number of problems involving several hundred integer variables were solved in a matter of seconds. In the present paper a number of improvements in these earlier algorithms are presented, including a new search strategy, methods for reducing the original problem, and mechanisms for feasibility filtering in multi-word problems. With these improvements problem-solving efficiency has been increased in many instances by an order of magnitude. In addition, the present paper contains computational experience obtained in solving problems for the k-best solutions.