Analysis of linear trade models and relation to scale economies

We discuss linear Ricardo models with a range of parameters. We show that the exact boundary of the region of equilibria of these models is obtained by solving a simple integer programming problem. We show that there is also an exact correspondence between many of the equilibria resulting from families of linear models and the multiple equilibria of economies of scale models.

A Code for zero-one integer programming, ILLIP-2 : a programming manual for ILLIP-2 /

"UILU-ENG 77 1711."

Optimum network design using NOR and NOR-AND gates by integer programming,

Bibliography: p. 44.

An implicit enumeration program for zero-one integer programming -- ILLIP-2 /

Thesis (M.S.)--Illinois.

A study of the effect of additional inequalities in integer programming for logical design.

Originally presented as the author's thesis (M.S.), University of Illinois at Urbana-Champaign.

Synthesis of optimal networks with NOR and NAND gates by integer programming /

"January 18, 1971."

On the synthesis by integer programming of optimal NOR gate networks for four variable switching functions /

"Supported in part by the National Science Foundation under grant no. NSF GJ-503."

An Implicit enumeration program for zero-one integer programming,

Bibliography: p. 41-42.

Synthesis of optimal double-rail logic networks using NOR-OR gates by integer programming.

"Supported in part by ... Grant no. NSF GJ-503."

Computational experience in all-integer, binary variable, integer programming problems using Gomory's all-integer algorithm,

Bibliographical footnotes.

Implicit enumeration algorithm of integer programming on Illiac IV,

Bibliography: p. 29.

Optimum network design using NOR-OR gates by integer programming.

"Supported in part by ... Grant no. NSF GJ-503."

Heuristic algorithm for computing reversal distance with multigene families via binary integer programming

Hannenhalli and Pevzner developed the first polynomial-time algorithm for the combinatorial problem of sorting of signed genomic data. Their algorithm solves the minimum number of reversals required for rearranging a genome to another when gene duplication is nonexisting. In this paper, we show how to extend the Hannenhalli-Pevzner approach to genomes with multigene families. We propose a new heuristic algorithm to compute the reversal distance between two genomes with multigene families via the concept of binary integer programming without removing gene duplicates. The experimental results on simulated and real biological data demonstrate that the proposed algorithm is able to find the reversal distance accurately. ©2005 IEEE

An Interactive Method of Linear Mixed Integer Multicriteria Optimization

The paper describes a learning-oriented interactive method for solving linear mixed integer problems of multicriteria optimization. The method increases the possibilities of the decision maker (DM) to describe his/her local preferences and at the same time it overcomes some computational difficulties, especially in problems of large dimension. The method is realized in an experimental decision support system for finding the solution of linear mixed integer multicriteria optimization problems.