Branch and Bound Method to Solve Multi Objectives Function

Branch and Bound Algorithms to Solve Semiring Constraint Satisfaction Problems

The Semiring Constraint Satisfaction Problem (SCSP) framework is a popular approach for the representation of partial constraint satisfaction problems. Considerable research has been done in solving SCSPs, but limited work has been done in building general SCSP solvers. This paper is a part of a series of papers in which incremental changes are made to a branch and bound (BnB) algorithm in orde...

A Branch-and-Bound Algorithm to Solve Large Scale Integer Quadratic Multi-Knapsack Problems

A Branch-and-Bound Method for Multistage Stochastic Integer Programs with Risk Objectives

We identify multistage stochastic integer programs with risk objectives where the related wait-andsee problems enjoy similar separability as in the risk neutral case. For models belonging to this class we present a solution method combining branch-and-bound with relaxation of nonanticipativity and constraint branching along nonanticipativity subspaces.

A Branch and Bound Method for Finding Flow Path Designing of Agv Systems (RESEARCH NOTE)

One of the important factor in the design of automated guided vehicle systems (AGVS) is the flow path design. This paper presents a branch-and-bound algorithm to determining the flow path by considering not only loaded-vehicles, but also empty-vehicles. The objective is to find the flow path, which will minimize total travel of loaded vehicles. We know that in branch-and-bound method a branch c...

An Effective Branch-and-Bound Algorithm to Solve the k-Longest Common Subsequence Problem

In this paper, we study the Longest Common Subsequence problem of multiple sequences. Because the problem is NPhard, we devise an effective Branch-and-Bound algorithm to solve the problem. Results of extensive computational experiments show our method to be effective not only on randomly generated benchmark instances, but also on real-world protein sequence instances.